From dfff64f4da0707c37bc6ac668fcd68e2cb0fc7a0 Mon Sep 17 00:00:00 2001
From: cyiallou - Costas <42914163+cyiallou@users.noreply.github.com>
Date: Wed, 29 Oct 2025 23:18:12 +0100
Subject: [PATCH] Update solar notebook to work with updated microgrid config

Microgrid config loading switched to schema-based in #176

Signed-off-by: cyiallou - Costas <42914163+cyiallou@users.noreply.github.com>
---
 examples/Solar Maintenance.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/Solar Maintenance.ipynb b/examples/Solar Maintenance.ipynb
index 6dcd7f89..571755dd 100644
--- a/examples/Solar Maintenance.ipynb	
+++ b/examples/Solar Maintenance.ipynb	
@@ -1 +1 @@
-{"cells":[{"cell_type":"markdown","metadata":{"deepnote_img_src":"universal-deepnote-header_c.png","deepnote_app_block_order":0,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"578fc6b699954f738efc3d9ef7afee00","deepnote_cell_type":"image"},"source":"<img src=\"universal-deepnote-header_c.png\" width=\"\" align=\"\" />","block_group":"5509b8d0656e4b08ada566550e52c776"},{"cell_type":"markdown","metadata":{"source_hash":"85682bd5","execution_start":1741817428049,"execution_millis":99,"execution_context_id":"9ae44b82-3fe5-4bbd-8c19-f6c4a2464ae3","deepnote_app_block_visible":false,"cell_id":"a4b45cef933d4401ba20e893366fd2e5","deepnote_cell_type":"markdown"},"source":"⚠️ **Important:**\nTo view the instructions (if not already displayed), you must **run the next cell**.\n\n▶️ **How to Run the Next Cell?**\n--> Press the **Run** ▶️ button at the top.\n\n---\n\n⚠️ **Wichtig:**\nUm die Anweisungen anzuzeigen (falls nicht bereits angezeigt), müssen Sie **die nächste Zelle ausführen**.\n\n▶️ **Wie führe ich die nächste Zelle aus?**\n--> Drücken Sie die **Run** ▶️-Taste oben.\n","block_group":"6fc29200e6b34043b86e8282d178d9d5"},{"cell_type":"code","metadata":{"source_hash":"2e054128","is_code_hidden":true,"execution_start":1751542674250,"execution_millis":1,"execution_context_id":"46cbfa39-7130-4b11-bae4-843979108d3e","deepnote_app_block_order":1,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_app_is_code_hidden":true,"deepnote_app_is_output_hidden":false,"deepnote_output_height_limit_disabled":true,"cell_id":"eb3ccfece3ff4aa299d72fcd06d89158","deepnote_cell_type":"code"},"source":"%%html\n<style>\n  details {\n    background: #f8f9fa;\n    border-radius: 6px;\n    padding: 12px;\n    margin-bottom: 12px;\n    border: 1px solid #ddd;\n  }\n\n  summary {\n    font-size: 18px;\n    font-weight: bold;\n    cursor: pointer;\n    padding: 6px;\n    border-radius: 4px;\n  }\n\n  summary:hover {\n    color: #007bff;\n  }\n\n  p {\n    font-size: 15px;\n    line-height: 1.6;\n  }\n  \n  ul {\n    margin-left: 20px;\n    padding-left: 15px;\n    font-size: 15px;\n  }\n  \n  li {\n    margin-bottom: 8px;\n  }\n  \n  /* Style checked items */\n  .checked {\n    text-decoration: line-through;\n    color: gray;\n  }\n</style>\n\n<details>\n  <summary>🇬🇧 <strong>English Instructions (Click to Expand)</strong></summary>\n\n  <p><strong>📌 Introduction</strong></p>\n  <p>The Solar Notebook gives you an overview of the energy production of your PV system. Below under <strong>\"Inputs\"</strong>, you can adjust the period of data visualization and monitor <strong>real-time, 24-hour, and long-term views</strong> of your production.</p>\n\n  <p><strong>🛠️ Instructions</strong></p>\n  <p>The notebook needs some setup before being executed for the first time.</p>\n\n  <ul>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> ✅ <strong>Ensure latest package version:</strong> It is recommended to install the latest version of the required package. View all versions here: <a href=\"https://pypi.org/project/frequenz-lib-notebooks/#history\">frequenz-lib-notebooks</a>. When installing, replace the predefined version with the version you want.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🛠️ <strong>Run the first code cell:</strong> Click on the <strong><span style=\"color: blue;\">blue</span> triangle</strong> when hovering over the cell to install required packages. Then move them to <strong>\"requirements.txt\"</strong> (for more information about this, see the document <em>\"Instructions: Create a Deepnote project and import a notebook\"</em>, section <em>\"5. Install requirements\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Import necessary libraries:</strong> Execute the next two code cells to import the libraries and load the microgrids <code>toml</code> file(s). ⏳ <em>Wait for execution to complete.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Configure inputs:</strong> Fill in the required fields in the <strong>\"Inputs\"</strong> section. See <em>\"Explanation of Input Variables\"</em> for a description of each variable. All inputs are required unless specifically marked as optional. Note that the end date of the analysis is not configurable and is by default the current day.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Run the notebook:</strong> Click the <strong><span style=\"color: \n    ;\">\"Start\"</span> button</strong> once inputs are filled.</li>\n  </ul>\n\n  <p><strong>📊 Explanation of Input Variables</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Select the microgrid to include in the analysis.</li>\n    <li>🔌 <code>component_category</code>: Select the component category to use for fetching the data (either \"inverter\" or \"meter\"; defaults to \"inverter\").</li>\n    <li>📅 <code>start_timestamp</code>: Start date in <strong>YYYY-MM-DD</strong> format.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Select a time zone (default: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Select a language (default: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample period (seconds) for processing/displaying low time resolution data. Used for all plots except \"real_time_view\".</li>\n    <li>🔄 <code>rolling_view_duration</code>: Move the slider to set the <strong>duration (days)</strong> for the long-term view plots.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Select models for comparison (default: no model).</li>\n  </ul>\n\n</details>\n\n<details>\n  <summary>🇩🇪 <strong>Deutsche Anleitung (Klicken zum Anzeigen)</strong></summary>\n\n  <p><strong>📌 Einleitung</strong></p>\n  <p>Das Solar Notebook gibt Ihnen einen Überblick über die Energieproduktion Ihres PV-Systems. Im Folgenden unter <strong>\"Eingabe\"</strong> könnenden Zeitraum der Datenvisualisierung anpassen und <strong>Echtzeit-, 24-Std- und langfristige Ansichten</strong> Ihrer Produktion monitoren.</p>\n\n  <p><strong>🛠️ Anleitung</strong></p>\n  <p>Das Notebook benötigt einige Einstellungen, bevor es zum ersten Mal ausgeführt werden kann.</p>\n\n  <ul>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> ✅ <strong>Neueste Paketversion sicherstellen:</strong> Es wird empfohlen, die neueste Version des benötigten Pakets zu installieren. Alle Versionen finden Sie hier: <a href=\"https://pypi.org/project/frequenz-lib-notebooks/#history\">frequenz-lib-notebooks</a>. Ersetzen Sie bei der Installation die vordefinierte Version durch die gewünschte.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🛠️ <strong>Führen Sie die erste Code-Zelle aus:</strong> Klicken Sie auf das <strong><span style=\"color: blue;\">blaue</span> Dreieck</strong>, um Pakete zu installieren. Danach verschieben Sie sie zu <strong>\"requirements.txt\"</strong> (weitere Informationen finden Sie im Dokument <em>\"Anleitung: Deepnote Projekt erstellen und Notebook importieren\"</em>, Abschnitt <em>\"5. Requirements installieren\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Importieren Sie die Bibliotheken:</strong> Führen Sie die nächsten zwei Code-Zellen aus, um die notwendigen Bibliotheken zu importieren und die microgrids <code>toml</code> Datei(en) zu laden. ⏳ <em>Warten Sie, bis die Ausführung abgeschlossen ist.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Konfigurieren Sie die Eingaben:</strong> Füllen Sie die erforderlichen Felder unter <strong>\"Eingabe\"</strong> aus. Details siehe <em>\"Erläuterung der Eingabevariablen\"</em>. Alle Eingaben sind erforderlich, es sei denn, sie sind ausdrücklich als optional gekennzeichnet. Beachten Sie, dass das Enddatum der Analyse nicht konfigurierbar ist und standardmäßig der aktuelle Tag ist.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Notebook ausführen:</strong> Klicken Sie auf den <strong><span style=\"color: blue;\">\"Start\"</span>-Button</strong>, sobald alle Eingaben ausgefüllt sind.</li>\n  </ul>\n\n  <p><strong>📊 Erläuterung der Eingabevariablen</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Wählen Sie das Mikronetz aus, das in die Analyse einbezogen werden soll.</li>\n    <li>🔌 <code>component_category</code>: Wählen Sie die Komponenten­kategorie aus, die zum Abrufen der Daten verwendet werden soll (entweder „inverter“ oder „meter“; Standard ist „inverter“).</li>\n    <li>📅 <code>start_timestamp</code>: Startdatum der Analyse im Format <strong>JJJJ-MM-TT</strong>.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Wählen Sie eine Zeitzone (Standard: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Wählen Sie eine Sprache (Standard: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample-Periode (Sekunden) für die Verarbeitung/Darstellung von Daten mit niedriger zeitlicher Auflösung. Wird für alle Diagramme außer \"real_time_view\" verwendet.</li>\n    <li>🔄 <code>rolling_view_duration</code>: Bewegen Sie den Schieberegler, um die <strong>Dauer (Tage)</strong> für die Langzeitansichtsdiagramme festzulegen.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Wählen Sie Modelle zum Vergleich aus (Standard: kein Modell).</li>\n  </ul>\n\n</details>\n\n<script>\n  function toggleStrike(checkbox) {\n    if (checkbox.checked) {\n      checkbox.parentElement.classList.add(\"checked\");\n    } else {\n      checkbox.parentElement.classList.remove(\"checked\");\n    }\n  }\n</script>\n","block_group":"ce06f9d982ae48a7adf3242492af3d48","execution_count":1,"outputs":[{"data":{"text/html":"<style>\n  details {\n    background: #f8f9fa;\n    border-radius: 6px;\n    padding: 12px;\n    margin-bottom: 12px;\n    border: 1px solid #ddd;\n  }\n\n  summary {\n    font-size: 18px;\n    font-weight: bold;\n    cursor: pointer;\n    padding: 6px;\n    border-radius: 4px;\n  }\n\n  summary:hover {\n    color: #007bff;\n  }\n\n  p {\n    font-size: 15px;\n    line-height: 1.6;\n  }\n  \n  ul {\n    margin-left: 20px;\n    padding-left: 15px;\n    font-size: 15px;\n  }\n  \n  li {\n    margin-bottom: 8px;\n  }\n  \n  /* Style checked items */\n  .checked {\n    text-decoration: line-through;\n    color: gray;\n  }\n</style>\n\n<details>\n  <summary>🇬🇧 <strong>English Instructions (Click to Expand)</strong></summary>\n\n  <p><strong>📌 Introduction</strong></p>\n  <p>The Solar Notebook gives you an overview of the energy production of your PV system. Below under <strong>\"Inputs\"</strong>, you can adjust the period of data visualization and monitor <strong>real-time, 24-hour, and long-term views</strong> of your production.</p>\n\n  <p><strong>🛠️ Instructions</strong></p>\n  <p>The notebook needs some setup before being executed for the first time.</p>\n\n  <ul>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> ✅ <strong>Ensure latest package version:</strong> It is recommended to install the latest version of the required package. View all versions here: <a href=\"https://pypi.org/project/frequenz-lib-notebooks/#history\">frequenz-lib-notebooks</a>. When installing, replace the predefined version with the version you want.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🛠️ <strong>Run the first code cell:</strong> Click on the <strong><span style=\"color: blue;\">blue</span> triangle</strong> when hovering over the cell to install required packages. Then move them to <strong>\"requirements.txt\"</strong> (for more information about this, see the document <em>\"Instructions: Create a Deepnote project and import a notebook\"</em>, section <em>\"5. Install requirements\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Import necessary libraries:</strong> Execute the next two code cells to import the libraries and load the microgrids <code>toml</code> file(s). ⏳ <em>Wait for execution to complete.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Configure inputs:</strong> Fill in the required fields in the <strong>\"Inputs\"</strong> section. See <em>\"Explanation of Input Variables\"</em> for a description of each variable. All inputs are required unless specifically marked as optional. Note that the end date of the analysis is not configurable and is by default the current day.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Run the notebook:</strong> Click the <strong><span style=\"color: \n    ;\">\"Start\"</span> button</strong> once inputs are filled.</li>\n  </ul>\n\n  <p><strong>📊 Explanation of Input Variables</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Select the microgrid to include in the analysis.</li>\n    <li>🔌 <code>component_category</code>: Select the component category to use for fetching the data (either \"inverter\" or \"meter\"; defaults to \"inverter\").</li>\n    <li>📅 <code>start_timestamp</code>: Start date in <strong>YYYY-MM-DD</strong> format.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Select a time zone (default: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Select a language (default: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample period (seconds) for processing/displaying low time resolution data. Used for all plots except \"real_time_view\".</li>\n    <li>🔄 <code>rolling_view_duration</code>: Move the slider to set the <strong>duration (days)</strong> for the long-term view plots.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Select models for comparison (default: no model).</li>\n  </ul>\n\n</details>\n\n<details>\n  <summary>🇩🇪 <strong>Deutsche Anleitung (Klicken zum Anzeigen)</strong></summary>\n\n  <p><strong>📌 Einleitung</strong></p>\n  <p>Das Solar Notebook gibt Ihnen einen Überblick über die Energieproduktion Ihres PV-Systems. Im Folgenden unter <strong>\"Eingabe\"</strong> könnenden Zeitraum der Datenvisualisierung anpassen und <strong>Echtzeit-, 24-Std- und langfristige Ansichten</strong> Ihrer Produktion monitoren.</p>\n\n  <p><strong>🛠️ Anleitung</strong></p>\n  <p>Das Notebook benötigt einige Einstellungen, bevor es zum ersten Mal ausgeführt werden kann.</p>\n\n  <ul>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> ✅ <strong>Neueste Paketversion sicherstellen:</strong> Es wird empfohlen, die neueste Version des benötigten Pakets zu installieren. Alle Versionen finden Sie hier: <a href=\"https://pypi.org/project/frequenz-lib-notebooks/#history\">frequenz-lib-notebooks</a>. Ersetzen Sie bei der Installation die vordefinierte Version durch die gewünschte.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🛠️ <strong>Führen Sie die erste Code-Zelle aus:</strong> Klicken Sie auf das <strong><span style=\"color: blue;\">blaue</span> Dreieck</strong>, um Pakete zu installieren. Danach verschieben Sie sie zu <strong>\"requirements.txt\"</strong> (weitere Informationen finden Sie im Dokument <em>\"Anleitung: Deepnote Projekt erstellen und Notebook importieren\"</em>, Abschnitt <em>\"5. Requirements installieren\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Importieren Sie die Bibliotheken:</strong> Führen Sie die nächsten zwei Code-Zellen aus, um die notwendigen Bibliotheken zu importieren und die microgrids <code>toml</code> Datei(en) zu laden. ⏳ <em>Warten Sie, bis die Ausführung abgeschlossen ist.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Konfigurieren Sie die Eingaben:</strong> Füllen Sie die erforderlichen Felder unter <strong>\"Eingabe\"</strong> aus. Details siehe <em>\"Erläuterung der Eingabevariablen\"</em>. Alle Eingaben sind erforderlich, es sei denn, sie sind ausdrücklich als optional gekennzeichnet. Beachten Sie, dass das Enddatum der Analyse nicht konfigurierbar ist und standardmäßig der aktuelle Tag ist.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Notebook ausführen:</strong> Klicken Sie auf den <strong><span style=\"color: blue;\">\"Start\"</span>-Button</strong>, sobald alle Eingaben ausgefüllt sind.</li>\n  </ul>\n\n  <p><strong>📊 Erläuterung der Eingabevariablen</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Wählen Sie das Mikronetz aus, das in die Analyse einbezogen werden soll.</li>\n    <li>🔌 <code>component_category</code>: Wählen Sie die Komponenten­kategorie aus, die zum Abrufen der Daten verwendet werden soll (entweder „inverter“ oder „meter“; Standard ist „inverter“).</li>\n    <li>📅 <code>start_timestamp</code>: Startdatum der Analyse im Format <strong>JJJJ-MM-TT</strong>.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Wählen Sie eine Zeitzone (Standard: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Wählen Sie eine Sprache (Standard: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample-Periode (Sekunden) für die Verarbeitung/Darstellung von Daten mit niedriger zeitlicher Auflösung. Wird für alle Diagramme außer \"real_time_view\" verwendet.</li>\n    <li>🔄 <code>rolling_view_duration</code>: Bewegen Sie den Schieberegler, um die <strong>Dauer (Tage)</strong> für die Langzeitansichtsdiagramme festzulegen.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Wählen Sie Modelle zum Vergleich aus (Standard: kein Modell).</li>\n  </ul>\n\n</details>\n\n<script>\n  function toggleStrike(checkbox) {\n    if (checkbox.checked) {\n      checkbox.parentElement.classList.add(\"checked\");\n    } else {\n      checkbox.parentElement.classList.remove(\"checked\");\n    }\n  }\n</script>\n","text/plain":"<IPython.core.display.HTML object>"},"metadata":{},"output_type":"display_data"}],"outputs_reference":"s3:deepnote-cell-outputs-production/ac05a72b-c874-4341-98ef-2df29c1c2091","content_dependencies":null},{"cell_type":"code","metadata":{"cell_id":"68d8d452fa77482495405adcb9134ab0","deepnote_cell_type":"code"},"source":"!pip install --upgrade pip\n!pip install frequenz-lib-notebooks==0.11.0","block_group":"77320cc139a64fb49a74dac10f7ff42b","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_visible":false,"cell_id":"ddf0683334d0491dbd3c9459d1ba9727","deepnote_cell_type":"text-cell-h2"},"source":"## Imports","block_group":"7c7bd73e61cb4cdb836e168a2e41c49b"},{"cell_type":"code","metadata":{"cell_id":"c956a0d96faa44debd08f6284cb626b9","deepnote_cell_type":"code"},"source":"import datetime\nimport logging\nimport os\n\nimport pytz\n\nfrom frequenz.data.microgrid.config import MicrogridConfig\nfrom frequenz.lib.notebooks.solar.maintenance.microgrid_dashboard import (\n    MicrogridOverviewDashboard,\n)\nfrom frequenz.lib.notebooks.solar.maintenance.solar_maintenance_app import run_workflow\n\nlogging.basicConfig(\n    level=logging.WARNING,\n    format=\"%(asctime)s %(levelname)s %(name)s: %(message)s\",\n    datefmt=\"%H:%M:%S\",\n)\nlogging.getLogger(\"matplotlib.font_manager\").setLevel(logging.ERROR)\nlogging.getLogger(\"frequenz.lib.notebooks\").setLevel(logging.WARNING)","block_group":"8b71968bde43452688b1fe54ab939fb3","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":2,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"241f476ae5ee4ac98549a762a10fdd33","deepnote_cell_type":"text-cell-h2"},"source":"## Inputs | Eingabe","block_group":"368d2f06db8040e2a137e0144cd47ee4"},{"cell_type":"code","metadata":{"cell_id":"5ea64829596e4e24bb0e034fd528389f","deepnote_cell_type":"code"},"source":"configs: dict[str, \"MicrogridConfig\"] = MicrogridConfig.load_configs(\n    microgrid_config_dir=\"/work\"\n)\navailable_microgrids = sorted(list(int(x) for x in configs.keys()))\navailable_timezones = sorted(list(pytz.all_timezones))","block_group":"bba52736c5ad4035802d0bf70c4f7cd8","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"code","metadata":{"allow_embed":false,"source_hash":"fd897548","execution_start":1740154519031,"execution_millis":1,"deepnote_input_label":"Select Microgrid","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"microgrid_id","deepnote_variable_value":"","deepnote_app_block_order":3,"deepnote_variable_options":[],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_variable_select_type":"from-variable","deepnote_allow_multiple_values":false,"deepnote_variable_custom_options":["Option 1","Option 2"],"deepnote_variable_selected_variable":"available_microgrids","cell_id":"a8d13fb913a44b2b8ffc9147833f028f","deepnote_cell_type":"input-select"},"source":"microgrid_id = None","block_group":"171959920fc94efca7dca0e96bc2c5e4","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"ea791ee7","execution_start":1751540335190,"execution_millis":0,"deepnote_input_label":"Select Component Category","execution_context_id":"46cbfa39-7130-4b11-bae4-843979108d3e","deepnote_variable_name":"component_category","deepnote_variable_value":"inverter","deepnote_variable_options":["meter","inverter"],"deepnote_variable_select_type":"from-options","deepnote_variable_default_value":"inverter","deepnote_variable_custom_options":["meter","inverter"],"deepnote_variable_selected_variable":"","cell_id":"9bb7314ba35541819babdb4553db6259","deepnote_cell_type":"input-select"},"source":"component_category = 'inverter'","block_group":"7caa0078dfa74a678fecc424897a33b7","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"8b7376b4","execution_start":1740154534984,"execution_millis":1,"deepnote_input_label":"Start","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"start_timestamp","deepnote_variable_value":"2025-01-01T00:00:00.000Z","deepnote_app_block_order":4,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63284fb2935d4dcdb537b4e0f34495ed","deepnote_input_date_version":2,"cell_id":"56b41e79c95a4e379c60f747cbf6e41b","deepnote_cell_type":"input-date"},"source":"\nfrom dateutil.parser import parse as _deepnote_parse\nstart_timestamp = _deepnote_parse('2025-01-01T00:00:00.000Z').date()\n","block_group":"1d748192fb6b4692b1d9d8f62febed4c","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"8f11a78b","execution_start":1740154353800,"execution_millis":0,"deepnote_input_label":"Zeitzone","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"time_zone","deepnote_variable_value":"UTC","deepnote_app_block_order":5,"deepnote_variable_options":["Africa/Abidjan","Africa/Accra","Africa/Addis_Ababa","Africa/Algiers","Africa/Asmara","Africa/Asmera","Africa/Bamako","Africa/Bangui","Africa/Banjul","Africa/Bissau","Africa/Blantyre","Africa/Brazzaville","Africa/Bujumbura","Africa/Cairo","Africa/Casablanca","Africa/Ceuta","Africa/Conakry","Africa/Dakar","Africa/Dar_es_Salaam","Africa/Djibouti","Africa/Douala","Africa/El_Aaiun","Africa/Freetown","Africa/Gaborone","Africa/Harare","Africa/Johannesburg","Africa/Juba","Africa/Kampala","Africa/Khartoum","Africa/Kigali","Africa/Kinshasa","Africa/Lagos","Africa/Libreville","Africa/Lome","Africa/Luanda","Africa/Lubumbashi","Africa/Lusaka","Africa/Malabo","Africa/Maputo","Africa/Maseru","Africa/Mbabane","Africa/Mogadishu","Africa/Monrovia","Africa/Nairobi","Africa/Ndjamena","Africa/Niamey","Africa/Nouakchott","Africa/Ouagadougou","Africa/Porto-Novo","Africa/Sao_Tome","Africa/Timbuktu","Africa/Tripoli","Africa/Tunis","Africa/Windhoek","America/Adak","America/Anchorage","America/Anguilla","America/Antigua","America/Araguaina","America/Argentina/Buenos_Aires","America/Argentina/Catamarca","America/Argentina/ComodRivadavia","America/Argentina/Cordoba","America/Argentina/Jujuy","America/Argentina/La_Rioja","America/Argentina/Mendoza","America/Argentina/Rio_Gallegos","America/Argentina/Salta","America/Argentina/San_Juan","America/Argentina/San_Luis","America/Argentina/Tucuman","America/Argentina/Ushuaia","America/Aruba","America/Asuncion","America/Atikokan","America/Atka","America/Bahia","America/Bahia_Banderas","America/Barbados","America/Belem","America/Belize","America/Blanc-Sablon","America/Boa_Vista","America/Bogota","America/Boise","America/Buenos_Aires","America/Cambridge_Bay","America/Campo_Grande","America/Cancun","America/Caracas","America/Catamarca","America/Cayenne","America/Cayman","America/Chicago","America/Chihuahua","America/Ciudad_Juarez","America/Coral_Harbour","America/Cordoba","America/Costa_Rica","America/Creston","America/Cuiaba","America/Curacao","America/Danmarkshavn","America/Dawson","America/Dawson_Creek","America/Denver","America/Detroit","America/Dominica","America/Edmonton","America/Eirunepe","America/El_Salvador","America/Ensenada","America/Fort_Nelson","America/Fort_Wayne","America/Fortaleza","America/Glace_Bay","America/Godthab","America/Goose_Bay","America/Grand_Turk","America/Grenada","America/Guadeloupe","America/Guatemala","America/Guayaquil","America/Guyana","America/Halifax","America/Havana","America/Hermosillo","America/Indiana/Indianapolis","America/Indiana/Knox","America/Indiana/Marengo","America/Indiana/Petersburg","America/Indiana/Tell_City","America/Indiana/Vevay","America/Indiana/Vincennes","America/Indiana/Winamac","America/Indianapolis","America/Inuvik","America/Iqaluit","America/Jamaica","America/Jujuy","America/Juneau","America/Kentucky/Louisville","America/Kentucky/Monticello","America/Knox_IN","America/Kralendijk","America/La_Paz","America/Lima","America/Los_Angeles","America/Louisville","America/Lower_Princes","America/Maceio","America/Managua","America/Manaus","America/Marigot","America/Martinique","America/Matamoros","America/Mazatlan","America/Mendoza","America/Menominee","America/Merida","America/Metlakatla","America/Mexico_City","America/Miquelon","America/Moncton","America/Monterrey","America/Montevideo","America/Montreal","America/Montserrat","America/Nassau","America/New_York","America/Nipigon","America/Nome","America/Noronha","America/North_Dakota/Beulah","America/North_Dakota/Center","America/North_Dakota/New_Salem","America/Nuuk","America/Ojinaga","America/Panama","America/Pangnirtung","America/Paramaribo","America/Phoenix","America/Port-au-Prince","America/Port_of_Spain","America/Porto_Acre","America/Porto_Velho","America/Puerto_Rico","America/Punta_Arenas","America/Rainy_River","America/Rankin_Inlet","America/Recife","America/Regina","America/Resolute","America/Rio_Branco","America/Rosario","America/Santa_Isabel","America/Santarem","America/Santiago","America/Santo_Domingo","America/Sao_Paulo","America/Scoresbysund","America/Shiprock","America/Sitka","America/St_Barthelemy","America/St_Johns","America/St_Kitts","America/St_Lucia","America/St_Thomas","America/St_Vincent","America/Swift_Current","America/Tegucigalpa","America/Thule","America/Thunder_Bay","America/Tijuana","America/Toronto","America/Tortola","America/Vancouver","America/Virgin","America/Whitehorse","America/Winnipeg","America/Yakutat","America/Yellowknife","Antarctica/Casey","Antarctica/Davis","Antarctica/DumontDUrville","Antarctica/Macquarie","Antarctica/Mawson","Antarctica/McMurdo","Antarctica/Palmer","Antarctica/Rothera","Antarctica/South_Pole","Antarctica/Syowa","Antarctica/Troll","Antarctica/Vostok","Arctic/Longyearbyen","Asia/Aden","Asia/Almaty","Asia/Amman","Asia/Anadyr","Asia/Aqtau","Asia/Aqtobe","Asia/Ashgabat","Asia/Ashkhabad","Asia/Atyrau","Asia/Baghdad","Asia/Bahrain","Asia/Baku","Asia/Bangkok","Asia/Barnaul","Asia/Beirut","Asia/Bishkek","Asia/Brunei","Asia/Calcutta","Asia/Chita","Asia/Choibalsan","Asia/Chongqing","Asia/Chungking","Asia/Colombo","Asia/Dacca","Asia/Damascus","Asia/Dhaka","Asia/Dili","Asia/Dubai","Asia/Dushanbe","Asia/Famagusta","Asia/Gaza","Asia/Harbin","Asia/Hebron","Asia/Ho_Chi_Minh","Asia/Hong_Kong","Asia/Hovd","Asia/Irkutsk","Asia/Istanbul","Asia/Jakarta","Asia/Jayapura","Asia/Jerusalem","Asia/Kabul","Asia/Kamchatka","Asia/Karachi","Asia/Kashgar","Asia/Kathmandu","Asia/Katmandu","Asia/Khandyga","Asia/Kolkata","Asia/Krasnoyarsk","Asia/Kuala_Lumpur","Asia/Kuching","Asia/Kuwait","Asia/Macao","Asia/Macau","Asia/Magadan","Asia/Makassar","Asia/Manila","Asia/Muscat","Asia/Nicosia","Asia/Novokuznetsk","Asia/Novosibirsk","Asia/Omsk","Asia/Oral","Asia/Phnom_Penh","Asia/Pontianak","Asia/Pyongyang","Asia/Qatar","Asia/Qostanay","Asia/Qyzylorda","Asia/Rangoon","Asia/Riyadh","Asia/Saigon","Asia/Sakhalin","Asia/Samarkand","Asia/Seoul","Asia/Shanghai","Asia/Singapore","Asia/Srednekolymsk","Asia/Taipei","Asia/Tashkent","Asia/Tbilisi","Asia/Tehran","Asia/Tel_Aviv","Asia/Thimbu","Asia/Thimphu","Asia/Tokyo","Asia/Tomsk","Asia/Ujung_Pandang","Asia/Ulaanbaatar","Asia/Ulan_Bator","Asia/Urumqi","Asia/Ust-Nera","Asia/Vientiane","Asia/Vladivostok","Asia/Yakutsk","Asia/Yangon","Asia/Yekaterinburg","Asia/Yerevan","Atlantic/Azores","Atlantic/Bermuda","Atlantic/Canary","Atlantic/Cape_Verde","Atlantic/Faeroe","Atlantic/Faroe","Atlantic/Jan_Mayen","Atlantic/Madeira","Atlantic/Reykjavik","Atlantic/South_Georgia","Atlantic/St_Helena","Atlantic/Stanley","Australia/ACT","Australia/Adelaide","Australia/Brisbane","Australia/Broken_Hill","Australia/Canberra","Australia/Currie","Australia/Darwin","Australia/Eucla","Australia/Hobart","Australia/LHI","Australia/Lindeman","Australia/Lord_Howe","Australia/Melbourne","Australia/NSW","Australia/North","Australia/Perth","Australia/Queensland","Australia/South","Australia/Sydney","Australia/Tasmania","Australia/Victoria","Australia/West","Australia/Yancowinna","Brazil/Acre","Brazil/DeNoronha","Brazil/East","Brazil/West","CET","CST6CDT","Canada/Atlantic","Canada/Central","Canada/Eastern","Canada/Mountain","Canada/Newfoundland","Canada/Pacific","Canada/Saskatchewan","Canada/Yukon","Chile/Continental","Chile/EasterIsland","Cuba","EET","EST","EST5EDT","Egypt","Eire","Etc/GMT","Etc/GMT+0","Etc/GMT+1","Etc/GMT+10","Etc/GMT+11","Etc/GMT+12","Etc/GMT+2","Etc/GMT+3","Etc/GMT+4","Etc/GMT+5","Etc/GMT+6","Etc/GMT+7","Etc/GMT+8","Etc/GMT+9","Etc/GMT-0","Etc/GMT-1","Etc/GMT-10","Etc/GMT-11","Etc/GMT-12","Etc/GMT-13","Etc/GMT-14","Etc/GMT-2","Etc/GMT-3","Etc/GMT-4","Etc/GMT-5","Etc/GMT-6","Etc/GMT-7","Etc/GMT-8","Etc/GMT-9","Etc/GMT0","Etc/Greenwich","Etc/UCT","Etc/UTC","Etc/Universal","Etc/Zulu","Europe/Amsterdam","Europe/Andorra","Europe/Astrakhan","Europe/Athens","Europe/Belfast","Europe/Belgrade","Europe/Berlin","Europe/Bratislava","Europe/Brussels","Europe/Bucharest","Europe/Budapest","Europe/Busingen","Europe/Chisinau","Europe/Copenhagen","Europe/Dublin","Europe/Gibraltar","Europe/Guernsey","Europe/Helsinki","Europe/Isle_of_Man","Europe/Istanbul","Europe/Jersey","Europe/Kaliningrad","Europe/Kiev","Europe/Kirov","Europe/Kyiv","Europe/Lisbon","Europe/Ljubljana","Europe/London","Europe/Luxembourg","Europe/Madrid","Europe/Malta","Europe/Mariehamn","Europe/Minsk","Europe/Monaco","Europe/Moscow","Europe/Nicosia","Europe/Oslo","Europe/Paris","Europe/Podgorica","Europe/Prague","Europe/Riga","Europe/Rome","Europe/Samara","Europe/San_Marino","Europe/Sarajevo","Europe/Saratov","Europe/Simferopol","Europe/Skopje","Europe/Sofia","Europe/Stockholm","Europe/Tallinn","Europe/Tirane","Europe/Tiraspol","Europe/Ulyanovsk","Europe/Uzhgorod","Europe/Vaduz","Europe/Vatican","Europe/Vienna","Europe/Vilnius","Europe/Volgograd","Europe/Warsaw","Europe/Zagreb","Europe/Zaporozhye","Europe/Zurich","GB","GB-Eire","GMT","GMT+0","GMT-0","GMT0","Greenwich","HST","Hongkong","Iceland","Indian/Antananarivo","Indian/Chagos","Indian/Christmas","Indian/Cocos","Indian/Comoro","Indian/Kerguelen","Indian/Mahe","Indian/Maldives","Indian/Mauritius","Indian/Mayotte","Indian/Reunion","Iran","Israel","Jamaica","Japan","Kwajalein","Libya","MET","MST","MST7MDT","Mexico/BajaNorte","Mexico/BajaSur","Mexico/General","NZ","NZ-CHAT","Navajo","PRC","PST8PDT","Pacific/Apia","Pacific/Auckland","Pacific/Bougainville","Pacific/Chatham","Pacific/Chuuk","Pacific/Easter","Pacific/Efate","Pacific/Enderbury","Pacific/Fakaofo","Pacific/Fiji","Pacific/Funafuti","Pacific/Galapagos","Pacific/Gambier","Pacific/Guadalcanal","Pacific/Guam","Pacific/Honolulu","Pacific/Johnston","Pacific/Kanton","Pacific/Kiritimati","Pacific/Kosrae","Pacific/Kwajalein","Pacific/Majuro","Pacific/Marquesas","Pacific/Midway","Pacific/Nauru","Pacific/Niue","Pacific/Norfolk","Pacific/Noumea","Pacific/Pago_Pago","Pacific/Palau","Pacific/Pitcairn","Pacific/Pohnpei","Pacific/Ponape","Pacific/Port_Moresby","Pacific/Rarotonga","Pacific/Saipan","Pacific/Samoa","Pacific/Tahiti","Pacific/Tarawa","Pacific/Tongatapu","Pacific/Truk","Pacific/Wake","Pacific/Wallis","Pacific/Yap","Poland","Portugal","ROC","ROK","Singapore","Turkey","UCT","US/Alaska","US/Aleutian","US/Arizona","US/Central","US/East-Indiana","US/Eastern","US/Hawaii","US/Indiana-Starke","US/Michigan","US/Mountain","US/Pacific","US/Samoa","UTC","Universal","W-SU","WET","Zulu"],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63284fb2935d4dcdb537b4e0f34495ed","deepnote_variable_select_type":"from-variable","deepnote_variable_custom_options":[],"deepnote_variable_selected_variable":"available_timezones","cell_id":"7ae495e12ada4cc09ba3f8a90a947186","deepnote_cell_type":"input-select"},"source":"time_zone = 'UTC'","block_group":"1d748192fb6b4692b1d9d8f62febed4c","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"70574ab3","execution_start":1740154353848,"execution_millis":0,"deepnote_input_label":"Sprache","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"language","deepnote_variable_value":"English","deepnote_app_block_order":6,"deepnote_variable_options":["English","Deutsch"],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63284fb2935d4dcdb537b4e0f34495ed","deepnote_variable_select_type":"from-options","deepnote_variable_custom_options":["English","Deutsch"],"deepnote_variable_selected_variable":"","cell_id":"8809a10c5fe3488e876f7d83c9ac6c3e","deepnote_cell_type":"input-select"},"source":"language = 'English'","block_group":"1d748192fb6b4692b1d9d8f62febed4c","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"a9d20686","execution_start":1740154353896,"execution_millis":0,"deepnote_input_label":"Resample-Periode","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"resample_period","deepnote_variable_value":"3600","deepnote_app_block_order":9,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63e6d74389a341c090053d0f52a5941a","cell_id":"ab685767e7ed45658eaac4051f7d9603","deepnote_cell_type":"input-text"},"source":"resample_period = '3600'","block_group":"5778cc84841442a5ba333c1bdfc53731","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"9731a0d1","execution_start":1740154353948,"execution_millis":0,"deepnote_input_label":"Dauer der rollierenden Ansicht","deepnote_slider_step":1,"execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"rolling_view_duration","deepnote_variable_value":"30","deepnote_app_block_order":7,"deepnote_slider_max_value":60,"deepnote_slider_min_value":5,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63e6d74389a341c090053d0f52a5941a","cell_id":"f62647cd64fc45ba8184f0a9856c1e6a","deepnote_cell_type":"input-slider"},"source":"rolling_view_duration = 30","block_group":"5778cc84841442a5ba333c1bdfc53731","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"90dd5287","execution_start":1740154353996,"execution_millis":0,"deepnote_input_label":"Modelle","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"baseline_models","deepnote_variable_value":[],"deepnote_app_block_order":8,"deepnote_variable_options":["7-day MA","7-day sampled MA","weather-based-forecast"],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63e6d74389a341c090053d0f52a5941a","deepnote_variable_select_type":"from-options","deepnote_allow_multiple_values":true,"deepnote_variable_custom_options":["7-day MA","7-day sampled MA","weather-based-forecast"],"deepnote_variable_selected_variable":"","cell_id":"3610e41d03fa49c9ac2b4a6efb2496df","deepnote_cell_type":"input-select"},"source":"baseline_models = []","block_group":"5778cc84841442a5ba333c1bdfc53731","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"markdown","metadata":{"deepnote_button_title":"Start","deepnote_variable_name":"button_1","deepnote_app_block_order":10,"deepnote_button_behavior":"run","deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_button_color_scheme":"blue","cell_id":"7f13021dab8a4f93a2c54dba4f052638","deepnote_cell_type":"button"},"source":"","block_group":"b39c113ef87c4d8d88888b38d0ef74fc","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_is_code_hidden":true,"cell_id":"ee45a4f6baed493d8add2b905bae7e14","deepnote_cell_type":"code"},"source":"# parse input block values\nstart_timestamp = datetime.datetime.combine(\n    start_timestamp, datetime.datetime.min.time()\n).astimezone(datetime.timezone.utc)\nend_timestamp = datetime.datetime.now().astimezone(datetime.timezone.utc)\nrolling_view_duration = min(\n    rolling_view_duration, (end_timestamp - start_timestamp).days\n)\nlanguage = {\"English\": \"en\", \"Deutsch\": \"de\"}.get(language, \"en\")\n\nclient_site_info = {\n    \"latitude\": getattr(configs[microgrid_id].meta, \"latitude\", 0.0),\n    \"longitude\": getattr(configs[microgrid_id].meta, \"longitude\", 0.0),\n    \"altitude\": getattr(configs[microgrid_id].meta, \"altitude\", 0.0),\n    \"peak_power_watts\": sum(\n        pv[\"peak_power\"]\n        for pv in getattr(configs[microgrid_id].assets, \"pv\", {}).values()\n    ),\n    \"rated_power_watts\": sum(\n        pv[\"rated_power\"]\n        for pv in getattr(configs[microgrid_id].assets, \"pv\", {}).values()\n    ),\n    \"efficiency\": 0.85,\n}\n\nUSER_REQUEST = {\n    \"time_zone\": time_zone,\n    \"start_timestamp\": start_timestamp,\n    \"end_timestamp\": end_timestamp,\n    \"rolling_view_duration\": rolling_view_duration,\n    \"language\": language,\n    \"weather_service_address\": os.environ[\"WEATHER_SERVER_URL\"],\n    \"reporting_service_address\": os.environ[\"REPORTING_SERVER_URL\"],\n    \"microgrid_ids\": [int(microgrid_id)],\n    \"component_ids\": [\n        configs[microgrid_id].component_type_ids(\n            component_type=\"pv\", component_category=component_category\n        )\n    ],\n    \"client_site_info\": [client_site_info],\n    \"baseline_models\": baseline_models,\n    \"large_resample_period_seconds\": int(resample_period),\n}","block_group":"6313e323db59445bb4b4af382244f121","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":11,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"d993321cd1454d0ca6a58cbbf122b531","deepnote_cell_type":"text-cell-h2"},"source":"## Results | Ergebnisse","block_group":"b3617c319a834d89b458d8a873b1ba7f"},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_block_order":12,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_app_is_code_hidden":true,"deepnote_app_is_output_hidden":false,"deepnote_output_height_limit_disabled":true,"cell_id":"0b11df5ff98947c8a84f698a2d02db13","deepnote_cell_type":"code"},"source":"plot_data = await run_workflow(user_config_changes=USER_REQUEST)","block_group":"ad935a2e96fe4f589c439f253c05c725","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":13,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"1effac5503124ffd860dff35873b9d56","deepnote_cell_type":"text-cell-h2"},"source":"## For Deepnote Usage | Zur Verwendung von Deepnote","block_group":"c39ab58156ca46599d7a73b87bd41710"},{"cell_type":"markdown","metadata":{"deepnote_app_block_order":14,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"4fcc601f357b46168c5f11faf2038b22","deepnote_cell_type":"markdown"},"source":"[Deepnote](https://deepnote.com/) is a cloud-based Jupyter-compatible notebook that supports real-time collaboration and easy integration with data tools. This section includes a basic example of Deepnote’s plotting feature, but for the most accurate and visually optimized results, we recommend using the plots generated automatically by the library.\n\n---\n\n[Deepnote](https://deepnote.com/) ist ein cloudbasiertes, Jupyter-kompatibles Notebook, das Echtzeit-Zusammenarbeit und eine einfache Integration mit Datentools unterstützt. Dieser Abschnitt enthält ein einfaches Beispiel für die Plotfunktion von Deepnote. Für die genauesten und optisch optimierten Ergebnisse empfehlen wir jedoch die Verwendung der von der Bibliothek automatisch generierten Plots.","block_group":"0d85bae81c714422b1f8a1104b32ee7f"},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_is_code_hidden":true,"cell_id":"3e6880b8f55145c686c71df42278d499","deepnote_cell_type":"code"},"source":"# --- for visualisation in deepnote --- #\nmid = int(microgrid_id)\nproduction_table_view = plot_data.production_table_view\nrolling_view_real_time = plot_data.real_time_view[mid]\nrolling_view_short_term = plot_data.rolling_view_short_term[mid]\n# --- hack to make the deepnote plot work --- #\nimport numpy as np\n\nif \"predictions_7-day sampled MA\" not in rolling_view_short_term.columns:\n    rolling_view_short_term[\"predictions_7-day sampled MA\"] = np.nan\nif \"predictions_weather-based-forecast\" not in rolling_view_short_term.columns:\n    rolling_view_short_term[\"predictions_weather-based-forecast\"] = np.nan\nif \"predictions_simulation\" not in rolling_view_short_term.columns:\n    rolling_view_short_term[\"predictions_simulation\"] = np.nan\n# ---------- #\nrolling_view_long_term = plot_data.rolling_view_long_term[mid]\n# --- hack to make the deepnote plot work --- #\nif \"predictions_7-day MA\" not in rolling_view_long_term.columns:\n    rolling_view_long_term[\"predictions_7-day MA\"] = np.nan\nif \"predictions_weather-based-forecast\" not in rolling_view_long_term.columns:\n    rolling_view_long_term[\"predictions_weather-based-forecast\"] = np.nan\nif \"predictions_simulation\" not in rolling_view_long_term.columns:\n    rolling_view_long_term[\"predictions_simulation\"] = np.nan\n# ---------- #\nrolling_view_average = plot_data.rolling_view_average[mid]\ndf_daily_production = plot_data.daily_production[mid]\nstatistical_view_dict = plot_data.statistical_profiles[mid]\nif \"grouped\" in statistical_view_dict:\n    statistical_view_grouped = statistical_view_dict[\"grouped\"]\nif \"continuous\" in statistical_view_dict:\n    statistical_view_continuous = statistical_view_dict[\"continuous\"]\nif \"24h_continuous\" in statistical_view_dict:\n    statistical_view_24h_continuous = statistical_view_dict[\"24h_continuous\"]\n\n# automate the real-time view plot on deepnote\nimport pandas as pd\n\n_microgrid_info_cids = [\n    str(x)\n    for x in configs[microgrid_id].component_type_ids(\n        component_type=\"pv\", component_category=component_category\n    )\n]\ncomponents_list = [\n    k for k in rolling_view_real_time.keys() if k in _microgrid_info_cids\n]\nif not rolling_view_real_time.empty:\n    hack_rolling_view_real_time = pd.melt(\n        rolling_view_real_time,\n        id_vars=[\"x-axis\"],\n        value_vars=components_list,\n        var_name=\"Component\",\n        value_name=\"Power (kW)\",\n    )\nelse:\n    hack_rolling_view_real_time = pd.DataFrame(\n        columns=[\"x-axis\", \"Component\", \"Power (kW)\"]\n    )\n# ---------------------------------- #","block_group":"837537a54d1b42d9b0aa64c4fe29cb4f","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":16,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"3ecd53e4f20841648743bc216d9b6d44","deepnote_cell_type":"text-cell-h2"},"source":"## Solar Energy Yield Overview | Solarenergie Ertragsübersicht","block_group":"9af8bb7657284a518888c722d610e942"},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_block_order":15,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_app_is_code_hidden":true,"deepnote_app_is_output_hidden":false,"deepnote_output_height_limit_disabled":true,"cell_id":"cee0f135ad474da7b2e115e26f190f89","deepnote_cell_type":"code"},"source":"dashboard = MicrogridOverviewDashboard(production_table_view, 1)\ndashboard.render()","block_group":"7dabd8d73f1547909040a5fc91bf37a3","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[{"type":"marks","marks":{"bold":true},"toCodePoint":14,"fromCodePoint":0}],"deepnote_app_block_order":17,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"c9e791fab0f547a5af827ddf39c2ff60","deepnote_cell_type":"text-cell-h2"},"source":"## Real-time View | Echtzeitansicht","block_group":"2f7c720ab9bd4606881fd50e37b6faa5"},{"cell_type":"markdown","metadata":{"deepnote_app_block_order":18,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"ad1ac860f7c64576a3ef80dc153c6b0d","deepnote_cell_type":"markdown"},"source":"This plot shows the production of the last 2 hours with a time resolution of 2 seconds. This allows you to monitor the current system performance in almost real time.\n\n---\n\nDieses Diagramm zeigt die Produktion der letzten 2 Stunden mit einer Zeitauflösung von 2 Sekunden an. Damit können Sie die aktuelle Systemleistung nahezu in Echtzeit zu überwachen.","block_group":"c72bef4be2814920a052ce6d8b96b89d"},{"cell_type":"code","metadata":{"allow_embed":false,"source_hash":"a0113f45","execution_start":1740154695404,"execution_millis":9,"execution_context_id":"b40db310-b176-49e3-a9f9-e171aa47dd9c","deepnote_chart_filter":{"filter":[],"advancedFilters":[]},"deepnote_variable_name":"hack_rolling_view_real_time","deepnote_app_block_order":19,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_visualization_spec":{"layer":[{"layer":[{"mark":{"clip":true,"type":"trail","tooltip":true},"encoding":{"x":{"axis":{"grid":false,"title":"Zeit"},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false,"title":"Leistung (kW)"},"sort":null,"type":"quantitative","field":"Power \\(kW\\)","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"sort":null,"type":"nominal","field":"Component","scale":{"scheme":"deepnote10"}}}}]}],"title":"Produktion in den letzten 2 Stunden","config":{"legend":{"orient":"bottom"}},"$schema":"https://vega.github.io/schema/vega-lite/v5.json","encoding":{},"usermeta":{"tooltipDefaultMode":true}},"cell_id":"f378cb8b2f3247acb4e400f462238042","deepnote_cell_type":"visualization"},"source":"import inspect\n_dntk.DeepnoteChart(hack_rolling_view_real_time, \"\"\"{\"layer\":[{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false,\"title\":\"Zeit\"},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false,\"title\":\"Leistung (kW)\"},\"sort\":null,\"type\":\"quantitative\",\"field\":\"Power \\\\\\\\(kW\\\\\\\\)\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"sort\":null,\"type\":\"nominal\",\"field\":\"Component\",\"scale\":{\"scheme\":\"deepnote10\"}}}}]}],\"title\":\"Produktion in den letzten 2 Stunden\",\"config\":{\"legend\":{\"orient\":\"bottom\"}},\"$schema\":\"https://vega.github.io/schema/vega-lite/v5.json\",\"encoding\":{},\"usermeta\":{\"tooltipDefaultMode\":true}}\"\"\", **({'attach_selection': True} if 'attach_selection' in inspect.signature(_dntk.DeepnoteChart).parameters else {}), **({'filters': '[]'} if 'filters' in inspect.signature(_dntk.DeepnoteChart).parameters else {}))","block_group":"bd915e2859d14b75978860666dd59f2a","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"markdown","metadata":{"formattedRanges":[{"type":"marks","marks":{"bold":true},"toCodePoint":12,"fromCodePoint":0}],"deepnote_app_block_order":20,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"6fed9fc4f5d74caaa3ab29193a81c1aa","deepnote_cell_type":"text-cell-h2"},"source":"## 24-hour View | 24-Stunden-Ansicht","block_group":"34f25cf266a94339aa57055801f8bd81"},{"cell_type":"markdown","metadata":{"deepnote_app_block_order":21,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"09455243c9d7414093372af8d02a93d9","deepnote_cell_type":"markdown"},"source":"These plots provide an overview of energy production over the last 24 hours. You can identify fluctuations in power generation and compare current production with past performance and forecasts.\n\n---\n\nDiese Diagramme bieten einen Überblick über die Energieproduktion der letzten 24 Stunden. Sie können Schwankungen in der Stromerzeugung erkennen und die aktuelle Produktion mit der vergangenen Leistung sowie mit Vorhersagen.","block_group":"c6cd5a75000a4e26aaba8cb31df1d6a9"},{"cell_type":"code","metadata":{"source_hash":"8a431cc6","execution_start":1740154700434,"execution_millis":10,"execution_context_id":"b40db310-b176-49e3-a9f9-e171aa47dd9c","deepnote_chart_height":442,"deepnote_variable_name":"rolling_view_short_term","deepnote_app_block_order":22,"deepnote_config_collapsed":false,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_visualization_spec":{"layer":[{"layer":[{"mark":{"clip":true,"type":"area","color":"#f58518","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear"},"stack":"zero"},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"predictions_simulation","scale":{"type":"linear"},"stack":"zero","format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Vorhersagesimulation"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#2266D3","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"power_kW","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Leistung"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#4c78a8","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"predictions_7-day sampled MA","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Vorhersagen 7-Tage-Muster"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#e45756","tooltip":true},"encoding":{"x":{"axis":{"grid":false,"title":"Uhrzeit"},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false,"title":"Leistung (kW)"},"sort":null,"type":"quantitative","field":"predictions_weather-based-forecast","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Vorhersagen Wetter"}}}]}],"title":" Produktion in den letzten 24 Stunden","config":{"legend":{"orient":"bottom"}},"$schema":"https://vega.github.io/schema/vega-lite/v5.json","encoding":{},"usermeta":{"tooltipDefaultMode":true}},"cell_id":"414efada0aa94ca1b3269a5b2022b248","deepnote_cell_type":"visualization"},"source":"import inspect\n_dntk.DeepnoteChart(rolling_view_short_term, \"\"\"{\"layer\":[{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"area\",\"color\":\"#f58518\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\"},\"stack\":\"zero\"},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"predictions_simulation\",\"scale\":{\"type\":\"linear\"},\"stack\":\"zero\",\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Vorhersagesimulation\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#2266D3\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"power_kW\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Leistung\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#4c78a8\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"predictions_7-day sampled MA\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Vorhersagen 7-Tage-Muster\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#e45756\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false,\"title\":\"Uhrzeit\"},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false,\"title\":\"Leistung (kW)\"},\"sort\":null,\"type\":\"quantitative\",\"field\":\"predictions_weather-based-forecast\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Vorhersagen Wetter\"}}}]}],\"title\":\" Produktion in den letzten 24 Stunden\",\"config\":{\"legend\":{\"orient\":\"bottom\"}},\"$schema\":\"https://vega.github.io/schema/vega-lite/v5.json\",\"encoding\":{},\"usermeta\":{\"tooltipDefaultMode\":true}}\"\"\", **({'attach_selection': True} if 'attach_selection' in inspect.signature(_dntk.DeepnoteChart).parameters else {}), **({'filters': '[]'} if 'filters' in inspect.signature(_dntk.DeepnoteChart).parameters else {}))","block_group":"5a69a83cedf344179587192e10bd2d32","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"40101328","execution_start":1740154704094,"execution_millis":0,"execution_context_id":"b40db310-b176-49e3-a9f9-e171aa47dd9c","deepnote_variable_name":"statistical_view_grouped","deepnote_app_block_order":23,"deepnote_config_collapsed":false,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_visualization_spec":{"layer":[{"layer":[{"mark":{"clip":true,"type":"trail","color":"#f58518","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"energy_kWh_min","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Mindestenergie"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#e45756","tooltip":true},"encoding":{"x":{"axis":{"grid":false,"title":"Uhrzeit"},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false,"title":"Energie (kWh)"},"sort":null,"type":"quantitative","field":"energy_kWh_max","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Höchstenergie"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#83bcb6","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"energy_kWh_25th percentile","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Energie 25. Perzentil"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#54a24b","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"energy_kWh_75th percentile","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Energie 75. Perzentil"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#2266D3","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"energy_kWh_mean","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Energie Mittelwert"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#4c78a8","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"energy_kWh_median","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Energie Median"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#f2cf5b","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"energy_kWh","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Energie"}}}]}],"title":"60-Minuten-Profil","config":{"legend":{"orient":"bottom"}},"$schema":"https://vega.github.io/schema/vega-lite/v5.json","encoding":{},"usermeta":{"tooltipDefaultMode":true}},"cell_id":"b1df540501cb4f70ac2813b5d1fb1f44","deepnote_cell_type":"visualization"},"source":"import inspect\n_dntk.DeepnoteChart(statistical_view_grouped, \"\"\"{\"layer\":[{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#f58518\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"energy_kWh_min\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Mindestenergie\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#e45756\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false,\"title\":\"Uhrzeit\"},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false,\"title\":\"Energie (kWh)\"},\"sort\":null,\"type\":\"quantitative\",\"field\":\"energy_kWh_max\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Höchstenergie\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#83bcb6\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"energy_kWh_25th percentile\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Energie 25. Perzentil\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#54a24b\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"energy_kWh_75th percentile\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Energie 75. Perzentil\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#2266D3\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"energy_kWh_mean\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Energie Mittelwert\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#4c78a8\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"energy_kWh_median\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Energie Median\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#f2cf5b\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"energy_kWh\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Energie\"}}}]}],\"title\":\"60-Minuten-Profil\",\"config\":{\"legend\":{\"orient\":\"bottom\"}},\"$schema\":\"https://vega.github.io/schema/vega-lite/v5.json\",\"encoding\":{},\"usermeta\":{\"tooltipDefaultMode\":true}}\"\"\", **({'attach_selection': True} if 'attach_selection' in inspect.signature(_dntk.DeepnoteChart).parameters else {}), **({'filters': '[]'} if 'filters' in inspect.signature(_dntk.DeepnoteChart).parameters else {}))","block_group":"ff537e447505408e86832e5f84028a01","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"markdown","metadata":{"formattedRanges":[{"type":"marks","marks":{"bold":true},"toCodePoint":14,"fromCodePoint":0}],"deepnote_app_block_order":24,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"2b78be61cf1443c9ab6d303da95d1d2d","deepnote_cell_type":"text-cell-h2"},"source":"## Long-term View | Langfristige Ansicht","block_group":"bcdd4f9f9aab4dafb24285606f24a6d1"},{"cell_type":"markdown","metadata":{"deepnote_app_block_order":25,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"98190f5f2cdd4e41afac63ab157c60f8","deepnote_cell_type":"markdown"},"source":"These plots provide you with insight into long-term energy production trends. You can view daily patterns, monthly production fluctuations, and moving averages. This allows for a more holistic understanding of system performance.\n\n---\n\nDiese Diagramme bieten Ihnen Einblicke in langfristige Trends der Energieproduktion. Sie können tägliche Muster, monatliche Produktionsschwankungen und gleitende Durchschnittwerte betrachten. Dies ermöglicht ein umfassenderes Verständnis der 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+{"cells":[{"cell_type":"markdown","metadata":{"deepnote_img_src":"universal-deepnote-header_c.png","deepnote_app_block_order":0,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"578fc6b699954f738efc3d9ef7afee00","deepnote_cell_type":"image"},"source":"<img src=\"universal-deepnote-header_c.png\" width=\"\" align=\"\" />","block_group":"5509b8d0656e4b08ada566550e52c776"},{"cell_type":"markdown","metadata":{"source_hash":"85682bd5","execution_start":1741817428049,"execution_millis":99,"execution_context_id":"9ae44b82-3fe5-4bbd-8c19-f6c4a2464ae3","deepnote_app_block_visible":false,"cell_id":"a4b45cef933d4401ba20e893366fd2e5","deepnote_cell_type":"markdown"},"source":"⚠️ **Important:**\nTo view the instructions (if not already displayed), you must **run the next cell**.\n\n▶️ **How to Run the Next Cell?**\n--> Press the **Run** ▶️ button at the top.\n\n---\n\n⚠️ **Wichtig:**\nUm die Anweisungen anzuzeigen (falls nicht bereits angezeigt), müssen Sie **die nächste Zelle ausführen**.\n\n▶️ **Wie führe ich die nächste Zelle aus?**\n--> Drücken Sie die **Run** ▶️-Taste oben.\n","block_group":"6fc29200e6b34043b86e8282d178d9d5"},{"cell_type":"code","metadata":{"source_hash":"2e054128","is_code_hidden":true,"execution_start":1751542674250,"execution_millis":1,"execution_context_id":"46cbfa39-7130-4b11-bae4-843979108d3e","deepnote_app_block_order":1,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_app_is_code_hidden":true,"deepnote_app_is_output_hidden":false,"deepnote_output_height_limit_disabled":true,"cell_id":"eb3ccfece3ff4aa299d72fcd06d89158","deepnote_cell_type":"code"},"source":"%%html\n<style>\n  details {\n    background: #f8f9fa;\n    border-radius: 6px;\n    padding: 12px;\n    margin-bottom: 12px;\n    border: 1px solid #ddd;\n  }\n\n  summary {\n    font-size: 18px;\n    font-weight: bold;\n    cursor: pointer;\n    padding: 6px;\n    border-radius: 4px;\n  }\n\n  summary:hover {\n    color: #007bff;\n  }\n\n  p {\n    font-size: 15px;\n    line-height: 1.6;\n  }\n  \n  ul {\n    margin-left: 20px;\n    padding-left: 15px;\n    font-size: 15px;\n  }\n  \n  li {\n    margin-bottom: 8px;\n  }\n  \n  /* Style checked items */\n  .checked {\n    text-decoration: line-through;\n    color: gray;\n  }\n</style>\n\n<details>\n  <summary>🇬🇧 <strong>English Instructions (Click to Expand)</strong></summary>\n\n  <p><strong>📌 Introduction</strong></p>\n  <p>The Solar Notebook gives you an overview of the energy production of your PV system. Below under <strong>\"Inputs\"</strong>, you can adjust the period of data visualization and monitor <strong>real-time, 24-hour, and long-term views</strong> of your production.</p>\n\n  <p><strong>🛠️ Instructions</strong></p>\n  <p>The notebook needs some setup before being executed for the first time.</p>\n\n  <ul>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> ✅ <strong>Ensure latest package version:</strong> It is recommended to install the latest version of the required package. View all versions here: <a href=\"https://pypi.org/project/frequenz-lib-notebooks/#history\">frequenz-lib-notebooks</a>. When installing, replace the predefined version with the version you want.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🛠️ <strong>Run the first code cell:</strong> Click on the <strong><span style=\"color: blue;\">blue</span> triangle</strong> when hovering over the cell to install required packages. Then move them to <strong>\"requirements.txt\"</strong> (for more information about this, see the document <em>\"Instructions: Create a Deepnote project and import a notebook\"</em>, section <em>\"5. Install requirements\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Import necessary libraries:</strong> Execute the next two code cells to import the libraries and load the microgrids <code>toml</code> file(s). ⏳ <em>Wait for execution to complete.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Configure inputs:</strong> Fill in the required fields in the <strong>\"Inputs\"</strong> section. See <em>\"Explanation of Input Variables\"</em> for a description of each variable. All inputs are required unless specifically marked as optional. Note that the end date of the analysis is not configurable and is by default the current day.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Run the notebook:</strong> Click the <strong><span style=\"color: \n    ;\">\"Start\"</span> button</strong> once inputs are filled.</li>\n  </ul>\n\n  <p><strong>📊 Explanation of Input Variables</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Select the microgrid to include in the analysis.</li>\n    <li>🔌 <code>component_category</code>: Select the component category to use for fetching the data (either \"inverter\" or \"meter\"; defaults to \"inverter\").</li>\n    <li>📅 <code>start_timestamp</code>: Start date in <strong>YYYY-MM-DD</strong> format.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Select a time zone (default: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Select a language (default: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample period (seconds) for processing/displaying low time resolution data. Used for all plots except \"real_time_view\".</li>\n    <li>🔄 <code>rolling_view_duration</code>: Move the slider to set the <strong>duration (days)</strong> for the long-term view plots.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Select models for comparison (default: no model).</li>\n  </ul>\n\n</details>\n\n<details>\n  <summary>🇩🇪 <strong>Deutsche Anleitung (Klicken zum Anzeigen)</strong></summary>\n\n  <p><strong>📌 Einleitung</strong></p>\n  <p>Das Solar Notebook gibt Ihnen einen Überblick über die Energieproduktion Ihres PV-Systems. Im Folgenden unter <strong>\"Eingabe\"</strong> könnenden Zeitraum der Datenvisualisierung anpassen und <strong>Echtzeit-, 24-Std- und langfristige Ansichten</strong> Ihrer Produktion monitoren.</p>\n\n  <p><strong>🛠️ Anleitung</strong></p>\n  <p>Das Notebook benötigt einige Einstellungen, bevor es zum ersten Mal ausgeführt werden kann.</p>\n\n  <ul>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> ✅ <strong>Neueste Paketversion sicherstellen:</strong> Es wird empfohlen, die neueste Version des benötigten Pakets zu installieren. Alle Versionen finden Sie hier: <a href=\"https://pypi.org/project/frequenz-lib-notebooks/#history\">frequenz-lib-notebooks</a>. Ersetzen Sie bei der Installation die vordefinierte Version durch die gewünschte.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🛠️ <strong>Führen Sie die erste Code-Zelle aus:</strong> Klicken Sie auf das <strong><span style=\"color: blue;\">blaue</span> Dreieck</strong>, um Pakete zu installieren. Danach verschieben Sie sie zu <strong>\"requirements.txt\"</strong> (weitere Informationen finden Sie im Dokument <em>\"Anleitung: Deepnote Projekt erstellen und Notebook importieren\"</em>, Abschnitt <em>\"5. Requirements installieren\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Importieren Sie die Bibliotheken:</strong> Führen Sie die nächsten zwei Code-Zellen aus, um die notwendigen Bibliotheken zu importieren und die microgrids <code>toml</code> Datei(en) zu laden. ⏳ <em>Warten Sie, bis die Ausführung abgeschlossen ist.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Konfigurieren Sie die Eingaben:</strong> Füllen Sie die erforderlichen Felder unter <strong>\"Eingabe\"</strong> aus. Details siehe <em>\"Erläuterung der Eingabevariablen\"</em>. Alle Eingaben sind erforderlich, es sei denn, sie sind ausdrücklich als optional gekennzeichnet. Beachten Sie, dass das Enddatum der Analyse nicht konfigurierbar ist und standardmäßig der aktuelle Tag ist.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Notebook ausführen:</strong> Klicken Sie auf den <strong><span style=\"color: blue;\">\"Start\"</span>-Button</strong>, sobald alle Eingaben ausgefüllt sind.</li>\n  </ul>\n\n  <p><strong>📊 Erläuterung der Eingabevariablen</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Wählen Sie das Mikronetz aus, das in die Analyse einbezogen werden soll.</li>\n    <li>🔌 <code>component_category</code>: Wählen Sie die Komponenten­kategorie aus, die zum Abrufen der Daten verwendet werden soll (entweder „inverter“ oder „meter“; Standard ist „inverter“).</li>\n    <li>📅 <code>start_timestamp</code>: Startdatum der Analyse im Format <strong>JJJJ-MM-TT</strong>.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Wählen Sie eine Zeitzone (Standard: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Wählen Sie eine Sprache (Standard: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample-Periode (Sekunden) für die Verarbeitung/Darstellung von Daten mit niedriger zeitlicher Auflösung. Wird für alle Diagramme außer \"real_time_view\" verwendet.</li>\n    <li>🔄 <code>rolling_view_duration</code>: Bewegen Sie den Schieberegler, um die <strong>Dauer (Tage)</strong> für die Langzeitansichtsdiagramme festzulegen.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Wählen Sie Modelle zum Vergleich aus (Standard: kein Modell).</li>\n  </ul>\n\n</details>\n\n<script>\n  function toggleStrike(checkbox) {\n    if (checkbox.checked) {\n      checkbox.parentElement.classList.add(\"checked\");\n    } else {\n      checkbox.parentElement.classList.remove(\"checked\");\n    }\n  }\n</script>\n","block_group":"ce06f9d982ae48a7adf3242492af3d48","execution_count":1,"outputs":[{"data":{"text/html":"<style>\n  details {\n    background: #f8f9fa;\n    border-radius: 6px;\n    padding: 12px;\n    margin-bottom: 12px;\n    border: 1px solid #ddd;\n  }\n\n  summary {\n    font-size: 18px;\n    font-weight: bold;\n    cursor: pointer;\n    padding: 6px;\n    border-radius: 4px;\n  }\n\n  summary:hover {\n    color: #007bff;\n  }\n\n  p {\n    font-size: 15px;\n    line-height: 1.6;\n  }\n  \n  ul {\n    margin-left: 20px;\n    padding-left: 15px;\n    font-size: 15px;\n  }\n  \n  li {\n    margin-bottom: 8px;\n  }\n  \n  /* Style checked items */\n  .checked {\n    text-decoration: line-through;\n    color: gray;\n  }\n</style>\n\n<details>\n  <summary>🇬🇧 <strong>English Instructions (Click to Expand)</strong></summary>\n\n  <p><strong>📌 Introduction</strong></p>\n  <p>The Solar Notebook gives you an overview of the energy production of your PV system. 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Then move them to <strong>\"requirements.txt\"</strong> (for more information about this, see the document <em>\"Instructions: Create a Deepnote project and import a notebook\"</em>, section <em>\"5. Install requirements\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Import necessary libraries:</strong> Execute the next two code cells to import the libraries and load the microgrids <code>toml</code> file(s). ⏳ <em>Wait for execution to complete.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Configure inputs:</strong> Fill in the required fields in the <strong>\"Inputs\"</strong> section. See <em>\"Explanation of Input Variables\"</em> for a description of each variable. All inputs are required unless specifically marked as optional. Note that the end date of the analysis is not configurable and is by default the current day.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Run the notebook:</strong> Click the <strong><span style=\"color: \n    ;\">\"Start\"</span> button</strong> once inputs are filled.</li>\n  </ul>\n\n  <p><strong>📊 Explanation of Input Variables</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Select the microgrid to include in the analysis.</li>\n    <li>🔌 <code>component_category</code>: Select the component category to use for fetching the data (either \"inverter\" or \"meter\"; defaults to \"inverter\").</li>\n    <li>📅 <code>start_timestamp</code>: Start date in <strong>YYYY-MM-DD</strong> format.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Select a time zone (default: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Select a language (default: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample period (seconds) for processing/displaying low time resolution data. Used for all plots except \"real_time_view\".</li>\n    <li>🔄 <code>rolling_view_duration</code>: Move the slider to set the <strong>duration (days)</strong> for the long-term view plots.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Select models for comparison (default: no model).</li>\n  </ul>\n\n</details>\n\n<details>\n  <summary>🇩🇪 <strong>Deutsche Anleitung (Klicken zum Anzeigen)</strong></summary>\n\n  <p><strong>📌 Einleitung</strong></p>\n  <p>Das Solar Notebook gibt Ihnen einen Überblick über die Energieproduktion Ihres PV-Systems. Im Folgenden unter <strong>\"Eingabe\"</strong> könnenden Zeitraum der Datenvisualisierung anpassen und <strong>Echtzeit-, 24-Std- und langfristige Ansichten</strong> Ihrer Produktion monitoren.</p>\n\n  <p><strong>🛠️ Anleitung</strong></p>\n  <p>Das Notebook benötigt einige Einstellungen, bevor es zum ersten Mal ausgeführt werden kann.</p>\n\n  <ul>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> ✅ <strong>Neueste Paketversion sicherstellen:</strong> Es wird empfohlen, die neueste Version des benötigten Pakets zu installieren. Alle Versionen finden Sie hier: <a href=\"https://pypi.org/project/frequenz-lib-notebooks/#history\">frequenz-lib-notebooks</a>. Ersetzen Sie bei der Installation die vordefinierte Version durch die gewünschte.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🛠️ <strong>Führen Sie die erste Code-Zelle aus:</strong> Klicken Sie auf das <strong><span style=\"color: blue;\">blaue</span> Dreieck</strong>, um Pakete zu installieren. Danach verschieben Sie sie zu <strong>\"requirements.txt\"</strong> (weitere Informationen finden Sie im Dokument <em>\"Anleitung: Deepnote Projekt erstellen und Notebook importieren\"</em>, Abschnitt <em>\"5. Requirements installieren\"</em>).</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 📦 <strong>Importieren Sie die Bibliotheken:</strong> Führen Sie die nächsten zwei Code-Zellen aus, um die notwendigen Bibliotheken zu importieren und die microgrids <code>toml</code> Datei(en) zu laden. ⏳ <em>Warten Sie, bis die Ausführung abgeschlossen ist.</em></li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🎯 <strong>Konfigurieren Sie die Eingaben:</strong> Füllen Sie die erforderlichen Felder unter <strong>\"Eingabe\"</strong> aus. Details siehe <em>\"Erläuterung der Eingabevariablen\"</em>. Alle Eingaben sind erforderlich, es sei denn, sie sind ausdrücklich als optional gekennzeichnet. Beachten Sie, dass das Enddatum der Analyse nicht konfigurierbar ist und standardmäßig der aktuelle Tag ist.</li>\n    <li><input type=\"checkbox\" onclick=\"toggleStrike(this)\"> 🚀 <strong>Notebook ausführen:</strong> Klicken Sie auf den <strong><span style=\"color: blue;\">\"Start\"</span>-Button</strong>, sobald alle Eingaben ausgefüllt sind.</li>\n  </ul>\n\n  <p><strong>📊 Erläuterung der Eingabevariablen</strong></p>\n  <ul>\n    <li>🏠 <code>microgrid_id</code>: Wählen Sie das Mikronetz aus, das in die Analyse einbezogen werden soll.</li>\n    <li>🔌 <code>component_category</code>: Wählen Sie die Komponenten­kategorie aus, die zum Abrufen der Daten verwendet werden soll (entweder „inverter“ oder „meter“; Standard ist „inverter“).</li>\n    <li>📅 <code>start_timestamp</code>: Startdatum der Analyse im Format <strong>JJJJ-MM-TT</strong>.</li>\n    <li>🌍 <code>time_zone</code>: <em>(optional)</em> Wählen Sie eine Zeitzone (Standard: UTC).</li>\n    <li>🗣️ <code>language</code>: <em>(optional)</em> Wählen Sie eine Sprache (Standard: English).</li>\n    <li>⏳ <code>resample_period</code>: Resample-Periode (Sekunden) für die Verarbeitung/Darstellung von Daten mit niedriger zeitlicher Auflösung. Wird für alle Diagramme außer \"real_time_view\" verwendet.</li>\n    <li>🔄 <code>rolling_view_duration</code>: Bewegen Sie den Schieberegler, um die <strong>Dauer (Tage)</strong> für die Langzeitansichtsdiagramme festzulegen.</li>\n    <li>📉 <code>baseline_models</code>: <em>(optional)</em> Wählen Sie Modelle zum Vergleich aus (Standard: kein Modell).</li>\n  </ul>\n\n</details>\n\n<script>\n  function toggleStrike(checkbox) {\n    if (checkbox.checked) {\n      checkbox.parentElement.classList.add(\"checked\");\n    } else {\n      checkbox.parentElement.classList.remove(\"checked\");\n    }\n  }\n</script>\n","text/plain":"<IPython.core.display.HTML object>"},"metadata":{},"output_type":"display_data"}],"outputs_reference":"s3:deepnote-cell-outputs-production/ac05a72b-c874-4341-98ef-2df29c1c2091","content_dependencies":null},{"cell_type":"code","metadata":{"cell_id":"68d8d452fa77482495405adcb9134ab0","deepnote_cell_type":"code"},"source":"!pip install --upgrade pip\n!pip install frequenz-lib-notebooks==0.12.0","block_group":"77320cc139a64fb49a74dac10f7ff42b","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_visible":false,"cell_id":"ddf0683334d0491dbd3c9459d1ba9727","deepnote_cell_type":"text-cell-h2"},"source":"## Imports","block_group":"7c7bd73e61cb4cdb836e168a2e41c49b"},{"cell_type":"code","metadata":{"cell_id":"c956a0d96faa44debd08f6284cb626b9","deepnote_cell_type":"code"},"source":"import datetime\nimport logging\nimport os\n\nimport pytz\n\nfrom frequenz.data.microgrid.config import MicrogridConfig\nfrom frequenz.lib.notebooks.solar.maintenance.microgrid_dashboard import (\n    MicrogridOverviewDashboard,\n)\nfrom frequenz.lib.notebooks.solar.maintenance.solar_maintenance_app import run_workflow\n\nlogging.basicConfig(\n    level=logging.WARNING,\n    format=\"%(asctime)s %(levelname)s %(name)s: %(message)s\",\n    datefmt=\"%H:%M:%S\",\n)\nlogging.getLogger(\"matplotlib.font_manager\").setLevel(logging.ERROR)\nlogging.getLogger(\"frequenz.lib.notebooks\").setLevel(logging.WARNING)","block_group":"8b71968bde43452688b1fe54ab939fb3","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":2,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"241f476ae5ee4ac98549a762a10fdd33","deepnote_cell_type":"text-cell-h2"},"source":"## Inputs | Eingabe","block_group":"368d2f06db8040e2a137e0144cd47ee4"},{"cell_type":"code","metadata":{"cell_id":"5ea64829596e4e24bb0e034fd528389f","deepnote_cell_type":"code"},"source":"configs: dict[str, \"MicrogridConfig\"] = MicrogridConfig.load_configs(\n    microgrid_config_dir=\"/work\"\n)\navailable_microgrids = sorted(list(int(x) for x in configs.keys()))\navailable_timezones = sorted(list(pytz.all_timezones))","block_group":"bba52736c5ad4035802d0bf70c4f7cd8","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"code","metadata":{"allow_embed":false,"source_hash":"fd897548","execution_start":1740154519031,"execution_millis":1,"deepnote_input_label":"Select Microgrid","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"microgrid_id","deepnote_variable_value":"","deepnote_app_block_order":3,"deepnote_variable_options":[],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_variable_select_type":"from-variable","deepnote_allow_multiple_values":false,"deepnote_variable_custom_options":["Option 1","Option 2"],"deepnote_variable_selected_variable":"available_microgrids","cell_id":"a8d13fb913a44b2b8ffc9147833f028f","deepnote_cell_type":"input-select"},"source":"microgrid_id = None","block_group":"171959920fc94efca7dca0e96bc2c5e4","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"ea791ee7","execution_start":1751540335190,"execution_millis":0,"deepnote_input_label":"Select Component Category","execution_context_id":"46cbfa39-7130-4b11-bae4-843979108d3e","deepnote_variable_name":"component_category","deepnote_variable_value":"inverter","deepnote_variable_options":["meter","inverter"],"deepnote_variable_select_type":"from-options","deepnote_variable_default_value":"inverter","deepnote_variable_custom_options":["meter","inverter"],"deepnote_variable_selected_variable":"","cell_id":"9bb7314ba35541819babdb4553db6259","deepnote_cell_type":"input-select"},"source":"component_category = 'inverter'","block_group":"7caa0078dfa74a678fecc424897a33b7","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"8b7376b4","execution_start":1740154534984,"execution_millis":1,"deepnote_input_label":"Start","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"start_timestamp","deepnote_variable_value":"2025-01-01T00:00:00.000Z","deepnote_app_block_order":4,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63284fb2935d4dcdb537b4e0f34495ed","deepnote_input_date_version":2,"cell_id":"56b41e79c95a4e379c60f747cbf6e41b","deepnote_cell_type":"input-date"},"source":"\nfrom dateutil.parser import parse as _deepnote_parse\nstart_timestamp = _deepnote_parse('2025-01-01T00:00:00.000Z').date()\n","block_group":"1d748192fb6b4692b1d9d8f62febed4c","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"8f11a78b","execution_start":1740154353800,"execution_millis":0,"deepnote_input_label":"Zeitzone","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"time_zone","deepnote_variable_value":"UTC","deepnote_app_block_order":5,"deepnote_variable_options":["Africa/Abidjan","Africa/Accra","Africa/Addis_Ababa","Africa/Algiers","Africa/Asmara","Africa/Asmera","Africa/Bamako","Africa/Bangui","Africa/Banjul","Africa/Bissau","Africa/Blantyre","Africa/Brazzaville","Africa/Bujumbura","Africa/Cairo","Africa/Casablanca","Africa/Ceuta","Africa/Conakry","Africa/Dakar","Africa/Dar_es_Salaam","Africa/Djibouti","Africa/Douala","Africa/El_Aaiun","Africa/Freetown","Africa/Gaborone","Africa/Harare","Africa/Johannesburg","Africa/Juba","Africa/Kampala","Africa/Khartoum","Africa/Kigali","Africa/Kinshasa","Africa/Lagos","Africa/Libreville","Africa/Lome","Africa/Luanda","Africa/Lubumbashi","Africa/Lusaka","Africa/Malabo","Africa/Maputo","Africa/Maseru","Africa/Mbabane","Africa/Mogadishu","Africa/Monrovia","Africa/Nairobi","Africa/Ndjamena","Africa/Niamey","Africa/Nouakchott","Africa/Ouagadougou","Africa/Porto-Novo","Africa/Sao_Tome","Africa/Timbuktu","Africa/Tripoli","Africa/Tunis","Africa/Windhoek","America/Adak","America/Anchorage","America/Anguilla","America/Antigua","America/Araguaina","America/Argentina/Buenos_Aires","America/Argentina/Catamarca","America/Argentina/ComodRivadavia","America/Argentina/Cordoba","America/Argentina/Jujuy","America/Argentina/La_Rioja","America/Argentina/Mendoza","America/Argentina/Rio_Gallegos","America/Argentina/Salta","America/Argentina/San_Juan","America/Argentina/San_Luis","America/Argentina/Tucuman","America/Argentina/Ushuaia","America/Aruba","America/Asuncion","America/Atikokan","America/Atka","America/Bahia","America/Bahia_Banderas","America/Barbados","America/Belem","America/Belize","America/Blanc-Sablon","America/Boa_Vista","America/Bogota","America/Boise","America/Buenos_Aires","America/Cambridge_Bay","America/Campo_Grande","America/Cancun","America/Caracas","America/Catamarca","America/Cayenne","America/Cayman","America/Chicago","America/Chihuahua","America/Ciudad_Juarez","America/Coral_Harbour","America/Cordoba","America/Costa_Rica","America/Creston","America/Cuiaba","America/Curacao","America/Danmarkshavn","America/Dawson","America/Dawson_Creek","America/Denver","America/Detroit","America/Dominica","America/Edmonton","America/Eirunepe","America/El_Salvador","America/Ensenada","America/Fort_Nelson","America/Fort_Wayne","America/Fortaleza","America/Glace_Bay","America/Godthab","America/Goose_Bay","America/Grand_Turk","America/Grenada","America/Guadeloupe","America/Guatemala","America/Guayaquil","America/Guyana","America/Halifax","America/Havana","America/Hermosillo","America/Indiana/Indianapolis","America/Indiana/Knox","America/Indiana/Marengo","America/Indiana/Petersburg","America/Indiana/Tell_City","America/Indiana/Vevay","America/Indiana/Vincennes","America/Indiana/Winamac","America/Indianapolis","America/Inuvik","America/Iqaluit","America/Jamaica","America/Jujuy","America/Juneau","America/Kentucky/Louisville","America/Kentucky/Monticello","America/Knox_IN","America/Kralendijk","America/La_Paz","America/Lima","America/Los_Angeles","America/Louisville","America/Lower_Princes","America/Maceio","America/Managua","America/Manaus","America/Marigot","America/Martinique","America/Matamoros","America/Mazatlan","America/Mendoza","America/Menominee","America/Merida","America/Metlakatla","America/Mexico_City","America/Miquelon","America/Moncton","America/Monterrey","America/Montevideo","America/Montreal","America/Montserrat","America/Nassau","America/New_York","America/Nipigon","America/Nome","America/Noronha","America/North_Dakota/Beulah","America/North_Dakota/Center","America/North_Dakota/New_Salem","America/Nuuk","America/Ojinaga","America/Panama","America/Pangnirtung","America/Paramaribo","America/Phoenix","America/Port-au-Prince","America/Port_of_Spain","America/Porto_Acre","America/Porto_Velho","America/Puerto_Rico","America/Punta_Arenas","America/Rainy_River","America/Rankin_Inlet","America/Recife","America/Regina","America/Resolute","America/Rio_Branco","America/Rosario","America/Santa_Isabel","America/Santarem","America/Santiago","America/Santo_Domingo","America/Sao_Paulo","America/Scoresbysund","America/Shiprock","America/Sitka","America/St_Barthelemy","America/St_Johns","America/St_Kitts","America/St_Lucia","America/St_Thomas","America/St_Vincent","America/Swift_Current","America/Tegucigalpa","America/Thule","America/Thunder_Bay","America/Tijuana","America/Toronto","America/Tortola","America/Vancouver","America/Virgin","America/Whitehorse","America/Winnipeg","America/Yakutat","America/Yellowknife","Antarctica/Casey","Antarctica/Davis","Antarctica/DumontDUrville","Antarctica/Macquarie","Antarctica/Mawson","Antarctica/McMurdo","Antarctica/Palmer","Antarctica/Rothera","Antarctica/South_Pole","Antarctica/Syowa","Antarctica/Troll","Antarctica/Vostok","Arctic/Longyearbyen","Asia/Aden","Asia/Almaty","Asia/Amman","Asia/Anadyr","Asia/Aqtau","Asia/Aqtobe","Asia/Ashgabat","Asia/Ashkhabad","Asia/Atyrau","Asia/Baghdad","Asia/Bahrain","Asia/Baku","Asia/Bangkok","Asia/Barnaul","Asia/Beirut","Asia/Bishkek","Asia/Brunei","Asia/Calcutta","Asia/Chita","Asia/Choibalsan","Asia/Chongqing","Asia/Chungking","Asia/Colombo","Asia/Dacca","Asia/Damascus","Asia/Dhaka","Asia/Dili","Asia/Dubai","Asia/Dushanbe","Asia/Famagusta","Asia/Gaza","Asia/Harbin","Asia/Hebron","Asia/Ho_Chi_Minh","Asia/Hong_Kong","Asia/Hovd","Asia/Irkutsk","Asia/Istanbul","Asia/Jakarta","Asia/Jayapura","Asia/Jerusalem","Asia/Kabul","Asia/Kamchatka","Asia/Karachi","Asia/Kashgar","Asia/Kathmandu","Asia/Katmandu","Asia/Khandyga","Asia/Kolkata","Asia/Krasnoyarsk","Asia/Kuala_Lumpur","Asia/Kuching","Asia/Kuwait","Asia/Macao","Asia/Macau","Asia/Magadan","Asia/Makassar","Asia/Manila","Asia/Muscat","Asia/Nicosia","Asia/Novokuznetsk","Asia/Novosibirsk","Asia/Omsk","Asia/Oral","Asia/Phnom_Penh","Asia/Pontianak","Asia/Pyongyang","Asia/Qatar","Asia/Qostanay","Asia/Qyzylorda","Asia/Rangoon","Asia/Riyadh","Asia/Saigon","Asia/Sakhalin","Asia/Samarkand","Asia/Seoul","Asia/Shanghai","Asia/Singapore","Asia/Srednekolymsk","Asia/Taipei","Asia/Tashkent","Asia/Tbilisi","Asia/Tehran","Asia/Tel_Aviv","Asia/Thimbu","Asia/Thimphu","Asia/Tokyo","Asia/Tomsk","Asia/Ujung_Pandang","Asia/Ulaanbaatar","Asia/Ulan_Bator","Asia/Urumqi","Asia/Ust-Nera","Asia/Vientiane","Asia/Vladivostok","Asia/Yakutsk","Asia/Yangon","Asia/Yekaterinburg","Asia/Yerevan","Atlantic/Azores","Atlantic/Bermuda","Atlantic/Canary","Atlantic/Cape_Verde","Atlantic/Faeroe","Atlantic/Faroe","Atlantic/Jan_Mayen","Atlantic/Madeira","Atlantic/Reykjavik","Atlantic/South_Georgia","Atlantic/St_Helena","Atlantic/Stanley","Australia/ACT","Australia/Adelaide","Australia/Brisbane","Australia/Broken_Hill","Australia/Canberra","Australia/Currie","Australia/Darwin","Australia/Eucla","Australia/Hobart","Australia/LHI","Australia/Lindeman","Australia/Lord_Howe","Australia/Melbourne","Australia/NSW","Australia/North","Australia/Perth","Australia/Queensland","Australia/South","Australia/Sydney","Australia/Tasmania","Australia/Victoria","Australia/West","Australia/Yancowinna","Brazil/Acre","Brazil/DeNoronha","Brazil/East","Brazil/West","CET","CST6CDT","Canada/Atlantic","Canada/Central","Canada/Eastern","Canada/Mountain","Canada/Newfoundland","Canada/Pacific","Canada/Saskatchewan","Canada/Yukon","Chile/Continental","Chile/EasterIsland","Cuba","EET","EST","EST5EDT","Egypt","Eire","Etc/GMT","Etc/GMT+0","Etc/GMT+1","Etc/GMT+10","Etc/GMT+11","Etc/GMT+12","Etc/GMT+2","Etc/GMT+3","Etc/GMT+4","Etc/GMT+5","Etc/GMT+6","Etc/GMT+7","Etc/GMT+8","Etc/GMT+9","Etc/GMT-0","Etc/GMT-1","Etc/GMT-10","Etc/GMT-11","Etc/GMT-12","Etc/GMT-13","Etc/GMT-14","Etc/GMT-2","Etc/GMT-3","Etc/GMT-4","Etc/GMT-5","Etc/GMT-6","Etc/GMT-7","Etc/GMT-8","Etc/GMT-9","Etc/GMT0","Etc/Greenwich","Etc/UCT","Etc/UTC","Etc/Universal","Etc/Zulu","Europe/Amsterdam","Europe/Andorra","Europe/Astrakhan","Europe/Athens","Europe/Belfast","Europe/Belgrade","Europe/Berlin","Europe/Bratislava","Europe/Brussels","Europe/Bucharest","Europe/Budapest","Europe/Busingen","Europe/Chisinau","Europe/Copenhagen","Europe/Dublin","Europe/Gibraltar","Europe/Guernsey","Europe/Helsinki","Europe/Isle_of_Man","Europe/Istanbul","Europe/Jersey","Europe/Kaliningrad","Europe/Kiev","Europe/Kirov","Europe/Kyiv","Europe/Lisbon","Europe/Ljubljana","Europe/London","Europe/Luxembourg","Europe/Madrid","Europe/Malta","Europe/Mariehamn","Europe/Minsk","Europe/Monaco","Europe/Moscow","Europe/Nicosia","Europe/Oslo","Europe/Paris","Europe/Podgorica","Europe/Prague","Europe/Riga","Europe/Rome","Europe/Samara","Europe/San_Marino","Europe/Sarajevo","Europe/Saratov","Europe/Simferopol","Europe/Skopje","Europe/Sofia","Europe/Stockholm","Europe/Tallinn","Europe/Tirane","Europe/Tiraspol","Europe/Ulyanovsk","Europe/Uzhgorod","Europe/Vaduz","Europe/Vatican","Europe/Vienna","Europe/Vilnius","Europe/Volgograd","Europe/Warsaw","Europe/Zagreb","Europe/Zaporozhye","Europe/Zurich","GB","GB-Eire","GMT","GMT+0","GMT-0","GMT0","Greenwich","HST","Hongkong","Iceland","Indian/Antananarivo","Indian/Chagos","Indian/Christmas","Indian/Cocos","Indian/Comoro","Indian/Kerguelen","Indian/Mahe","Indian/Maldives","Indian/Mauritius","Indian/Mayotte","Indian/Reunion","Iran","Israel","Jamaica","Japan","Kwajalein","Libya","MET","MST","MST7MDT","Mexico/BajaNorte","Mexico/BajaSur","Mexico/General","NZ","NZ-CHAT","Navajo","PRC","PST8PDT","Pacific/Apia","Pacific/Auckland","Pacific/Bougainville","Pacific/Chatham","Pacific/Chuuk","Pacific/Easter","Pacific/Efate","Pacific/Enderbury","Pacific/Fakaofo","Pacific/Fiji","Pacific/Funafuti","Pacific/Galapagos","Pacific/Gambier","Pacific/Guadalcanal","Pacific/Guam","Pacific/Honolulu","Pacific/Johnston","Pacific/Kanton","Pacific/Kiritimati","Pacific/Kosrae","Pacific/Kwajalein","Pacific/Majuro","Pacific/Marquesas","Pacific/Midway","Pacific/Nauru","Pacific/Niue","Pacific/Norfolk","Pacific/Noumea","Pacific/Pago_Pago","Pacific/Palau","Pacific/Pitcairn","Pacific/Pohnpei","Pacific/Ponape","Pacific/Port_Moresby","Pacific/Rarotonga","Pacific/Saipan","Pacific/Samoa","Pacific/Tahiti","Pacific/Tarawa","Pacific/Tongatapu","Pacific/Truk","Pacific/Wake","Pacific/Wallis","Pacific/Yap","Poland","Portugal","ROC","ROK","Singapore","Turkey","UCT","US/Alaska","US/Aleutian","US/Arizona","US/Central","US/East-Indiana","US/Eastern","US/Hawaii","US/Indiana-Starke","US/Michigan","US/Mountain","US/Pacific","US/Samoa","UTC","Universal","W-SU","WET","Zulu"],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63284fb2935d4dcdb537b4e0f34495ed","deepnote_variable_select_type":"from-variable","deepnote_variable_custom_options":[],"deepnote_variable_selected_variable":"available_timezones","cell_id":"7ae495e12ada4cc09ba3f8a90a947186","deepnote_cell_type":"input-select"},"source":"time_zone = 'UTC'","block_group":"1d748192fb6b4692b1d9d8f62febed4c","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"70574ab3","execution_start":1740154353848,"execution_millis":0,"deepnote_input_label":"Sprache","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"language","deepnote_variable_value":"English","deepnote_app_block_order":6,"deepnote_variable_options":["English","Deutsch"],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63284fb2935d4dcdb537b4e0f34495ed","deepnote_variable_select_type":"from-options","deepnote_variable_custom_options":["English","Deutsch"],"deepnote_variable_selected_variable":"","cell_id":"8809a10c5fe3488e876f7d83c9ac6c3e","deepnote_cell_type":"input-select"},"source":"language = 'English'","block_group":"1d748192fb6b4692b1d9d8f62febed4c","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"a9d20686","execution_start":1740154353896,"execution_millis":0,"deepnote_input_label":"Resample-Periode","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"resample_period","deepnote_variable_value":"3600","deepnote_app_block_order":9,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63e6d74389a341c090053d0f52a5941a","cell_id":"ab685767e7ed45658eaac4051f7d9603","deepnote_cell_type":"input-text"},"source":"resample_period = '3600'","block_group":"5778cc84841442a5ba333c1bdfc53731","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"9731a0d1","execution_start":1740154353948,"execution_millis":0,"deepnote_input_label":"Dauer der rollierenden Ansicht","deepnote_slider_step":1,"execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"rolling_view_duration","deepnote_variable_value":"30","deepnote_app_block_order":7,"deepnote_slider_max_value":60,"deepnote_slider_min_value":5,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63e6d74389a341c090053d0f52a5941a","cell_id":"f62647cd64fc45ba8184f0a9856c1e6a","deepnote_cell_type":"input-slider"},"source":"rolling_view_duration = 30","block_group":"5778cc84841442a5ba333c1bdfc53731","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"source_hash":"90dd5287","execution_start":1740154353996,"execution_millis":0,"deepnote_input_label":"Modelle","execution_context_id":"cda3e04e-56ee-4193-8f95-172bbabb125a","deepnote_variable_name":"baseline_models","deepnote_variable_value":[],"deepnote_app_block_order":8,"deepnote_variable_options":["7-day MA","7-day sampled MA","weather-based-forecast"],"deepnote_app_block_visible":true,"deepnote_app_block_group_id":"63e6d74389a341c090053d0f52a5941a","deepnote_variable_select_type":"from-options","deepnote_allow_multiple_values":true,"deepnote_variable_custom_options":["7-day MA","7-day sampled MA","weather-based-forecast"],"deepnote_variable_selected_variable":"","cell_id":"3610e41d03fa49c9ac2b4a6efb2496df","deepnote_cell_type":"input-select"},"source":"baseline_models = []","block_group":"5778cc84841442a5ba333c1bdfc53731","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"markdown","metadata":{"deepnote_button_title":"Start","deepnote_variable_name":"button_1","deepnote_app_block_order":10,"deepnote_button_behavior":"run","deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_button_color_scheme":"blue","cell_id":"7f13021dab8a4f93a2c54dba4f052638","deepnote_cell_type":"button"},"source":"","block_group":"b39c113ef87c4d8d88888b38d0ef74fc","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_is_code_hidden":true,"cell_id":"ee45a4f6baed493d8add2b905bae7e14","deepnote_cell_type":"code"},"source":"# parse input block values\nstart_timestamp = datetime.datetime.combine(\n    start_timestamp, datetime.datetime.min.time()\n).astimezone(datetime.timezone.utc)\nend_timestamp = datetime.datetime.now().astimezone(datetime.timezone.utc)\nrolling_view_duration = min(\n    rolling_view_duration, (end_timestamp - start_timestamp).days\n)\nlanguage = {\"English\": \"en\", \"Deutsch\": \"de\"}.get(language, \"en\")\n\nclient_site_info = {\n    \"latitude\": getattr(configs[microgrid_id].meta, \"latitude\", 0.0),\n    \"longitude\": getattr(configs[microgrid_id].meta, \"longitude\", 0.0),\n    \"altitude\": getattr(configs[microgrid_id].meta, \"altitude\", 0.0),\n    \"peak_power_watts\": sum(\n        pv.peak_power\n        for pv in getattr(configs[microgrid_id], \"pv\", {}).values()\n    ),\n    \"rated_power_watts\": sum(\n        pv.rated_power\n        for pv in getattr(configs[microgrid_id], \"pv\", {}).values()\n    ),\n    \"efficiency\": 0.85,\n}\n\nUSER_REQUEST = {\n    \"time_zone\": time_zone,\n    \"start_timestamp\": start_timestamp,\n    \"end_timestamp\": end_timestamp,\n    \"rolling_view_duration\": rolling_view_duration,\n    \"language\": language,\n    \"weather_service_address\": os.environ[\"WEATHER_SERVER_URL\"],\n    \"reporting_service_address\": os.environ[\"REPORTING_SERVER_URL\"],\n    \"microgrid_ids\": [int(microgrid_id)],\n    \"component_ids\": [\n        configs[microgrid_id].component_type_ids(\n            component_type=\"pv\", component_category=component_category\n        )\n    ],\n    \"client_site_info\": [client_site_info],\n    \"baseline_models\": baseline_models,\n    \"large_resample_period_seconds\": int(resample_period),\n}","block_group":"6313e323db59445bb4b4af382244f121","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":11,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"d993321cd1454d0ca6a58cbbf122b531","deepnote_cell_type":"text-cell-h2"},"source":"## Results | Ergebnisse","block_group":"b3617c319a834d89b458d8a873b1ba7f"},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_block_order":12,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_app_is_code_hidden":true,"deepnote_app_is_output_hidden":false,"deepnote_output_height_limit_disabled":true,"cell_id":"0b11df5ff98947c8a84f698a2d02db13","deepnote_cell_type":"code"},"source":"plot_data = await run_workflow(user_config_changes=USER_REQUEST)","block_group":"ad935a2e96fe4f589c439f253c05c725","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":13,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"1effac5503124ffd860dff35873b9d56","deepnote_cell_type":"text-cell-h2"},"source":"## For Deepnote Usage | Zur Verwendung von Deepnote","block_group":"c39ab58156ca46599d7a73b87bd41710"},{"cell_type":"markdown","metadata":{"deepnote_app_block_order":14,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"4fcc601f357b46168c5f11faf2038b22","deepnote_cell_type":"markdown"},"source":"[Deepnote](https://deepnote.com/) is a cloud-based Jupyter-compatible notebook that supports real-time collaboration and easy integration with data tools. This section includes a basic example of Deepnote’s plotting feature, but for the most accurate and visually optimized results, we recommend using the plots generated automatically by the library.\n\n---\n\n[Deepnote](https://deepnote.com/) ist ein cloudbasiertes, Jupyter-kompatibles Notebook, das Echtzeit-Zusammenarbeit und eine einfache Integration mit Datentools unterstützt. Dieser Abschnitt enthält ein einfaches Beispiel für die Plotfunktion von Deepnote. Für die genauesten und optisch optimierten Ergebnisse empfehlen wir jedoch die Verwendung der von der Bibliothek automatisch generierten Plots.","block_group":"0d85bae81c714422b1f8a1104b32ee7f"},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_is_code_hidden":true,"cell_id":"3e6880b8f55145c686c71df42278d499","deepnote_cell_type":"code"},"source":"# --- for visualisation in deepnote --- #\nmid = int(microgrid_id)\nproduction_table_view = plot_data.production_table_view\nrolling_view_real_time = plot_data.real_time_view[mid]\nrolling_view_short_term = plot_data.rolling_view_short_term[mid]\n# --- hack to make the deepnote plot work --- #\nimport numpy as np\n\nif \"predictions_7-day sampled MA\" not in rolling_view_short_term.columns:\n    rolling_view_short_term[\"predictions_7-day sampled MA\"] = np.nan\nif \"predictions_weather-based-forecast\" not in rolling_view_short_term.columns:\n    rolling_view_short_term[\"predictions_weather-based-forecast\"] = np.nan\nif \"predictions_simulation\" not in rolling_view_short_term.columns:\n    rolling_view_short_term[\"predictions_simulation\"] = np.nan\n# ---------- #\nrolling_view_long_term = plot_data.rolling_view_long_term[mid]\n# --- hack to make the deepnote plot work --- #\nif \"predictions_7-day MA\" not in rolling_view_long_term.columns:\n    rolling_view_long_term[\"predictions_7-day MA\"] = np.nan\nif \"predictions_weather-based-forecast\" not in rolling_view_long_term.columns:\n    rolling_view_long_term[\"predictions_weather-based-forecast\"] = np.nan\nif \"predictions_simulation\" not in rolling_view_long_term.columns:\n    rolling_view_long_term[\"predictions_simulation\"] = np.nan\n# ---------- #\nrolling_view_average = plot_data.rolling_view_average[mid]\ndf_daily_production = plot_data.daily_production[mid]\nstatistical_view_dict = plot_data.statistical_profiles[mid]\nif \"grouped\" in statistical_view_dict:\n    statistical_view_grouped = statistical_view_dict[\"grouped\"]\nif \"continuous\" in statistical_view_dict:\n    statistical_view_continuous = statistical_view_dict[\"continuous\"]\nif \"24h_continuous\" in statistical_view_dict:\n    statistical_view_24h_continuous = statistical_view_dict[\"24h_continuous\"]\n\n# automate the real-time view plot on deepnote\nimport pandas as pd\n\n_microgrid_info_cids = [\n    str(x)\n    for x in configs[microgrid_id].component_type_ids(\n        component_type=\"pv\", component_category=component_category\n    )\n]\ncomponents_list = [\n    k for k in rolling_view_real_time.keys() if k in _microgrid_info_cids\n]\nif not rolling_view_real_time.empty:\n    hack_rolling_view_real_time = pd.melt(\n        rolling_view_real_time,\n        id_vars=[\"x-axis\"],\n        value_vars=components_list,\n        var_name=\"Component\",\n        value_name=\"Power (kW)\",\n    )\nelse:\n    hack_rolling_view_real_time = pd.DataFrame(\n        columns=[\"x-axis\", \"Component\", \"Power (kW)\"]\n    )\n# ---------------------------------- #","block_group":"837537a54d1b42d9b0aa64c4fe29cb4f","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[],"deepnote_app_block_order":16,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"3ecd53e4f20841648743bc216d9b6d44","deepnote_cell_type":"text-cell-h2"},"source":"## Solar Energy Yield Overview | Solarenergie Ertragsübersicht","block_group":"9af8bb7657284a518888c722d610e942"},{"cell_type":"code","metadata":{"is_code_hidden":true,"deepnote_app_block_order":15,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_app_is_code_hidden":true,"deepnote_app_is_output_hidden":false,"deepnote_output_height_limit_disabled":true,"cell_id":"cee0f135ad474da7b2e115e26f190f89","deepnote_cell_type":"code"},"source":"dashboard = MicrogridOverviewDashboard(production_table_view, 1)\ndashboard.render()","block_group":"7dabd8d73f1547909040a5fc91bf37a3","execution_count":null,"outputs":[],"outputs_reference":null,"content_dependencies":null},{"cell_type":"markdown","metadata":{"formattedRanges":[{"type":"marks","marks":{"bold":true},"toCodePoint":14,"fromCodePoint":0}],"deepnote_app_block_order":17,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"c9e791fab0f547a5af827ddf39c2ff60","deepnote_cell_type":"text-cell-h2"},"source":"## Real-time View | Echtzeitansicht","block_group":"2f7c720ab9bd4606881fd50e37b6faa5"},{"cell_type":"markdown","metadata":{"deepnote_app_block_order":18,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"ad1ac860f7c64576a3ef80dc153c6b0d","deepnote_cell_type":"markdown"},"source":"This plot shows the production of the last 2 hours with a time resolution of 2 seconds. This allows you to monitor the current system performance in almost real time.\n\n---\n\nDieses Diagramm zeigt die Produktion der letzten 2 Stunden mit einer Zeitauflösung von 2 Sekunden an. Damit können Sie die aktuelle Systemleistung nahezu in Echtzeit zu überwachen.","block_group":"c72bef4be2814920a052ce6d8b96b89d"},{"cell_type":"code","metadata":{"allow_embed":false,"source_hash":"a0113f45","execution_start":1740154695404,"execution_millis":9,"execution_context_id":"b40db310-b176-49e3-a9f9-e171aa47dd9c","deepnote_chart_filter":{"filter":[],"advancedFilters":[]},"deepnote_variable_name":"hack_rolling_view_real_time","deepnote_app_block_order":19,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_visualization_spec":{"layer":[{"layer":[{"mark":{"clip":true,"type":"trail","tooltip":true},"encoding":{"x":{"axis":{"grid":false,"title":"Zeit"},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false,"title":"Leistung (kW)"},"sort":null,"type":"quantitative","field":"Power \\(kW\\)","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"sort":null,"type":"nominal","field":"Component","scale":{"scheme":"deepnote10"}}}}]}],"title":"Produktion in den letzten 2 Stunden","config":{"legend":{"orient":"bottom"}},"$schema":"https://vega.github.io/schema/vega-lite/v5.json","encoding":{},"usermeta":{"tooltipDefaultMode":true}},"cell_id":"f378cb8b2f3247acb4e400f462238042","deepnote_cell_type":"visualization"},"source":"_dntk.DeepnoteChart(hack_rolling_view_real_time, \"\"\"{\"layer\":[{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false,\"title\":\"Zeit\"},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false,\"title\":\"Leistung (kW)\"},\"sort\":null,\"type\":\"quantitative\",\"field\":\"Power \\\\\\\\(kW\\\\\\\\)\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"sort\":null,\"type\":\"nominal\",\"field\":\"Component\",\"scale\":{\"scheme\":\"deepnote10\"}}}}]}],\"title\":\"Produktion in den letzten 2 Stunden\",\"config\":{\"legend\":{\"orient\":\"bottom\"}},\"$schema\":\"https://vega.github.io/schema/vega-lite/v5.json\",\"encoding\":{},\"usermeta\":{\"tooltipDefaultMode\":true}}\"\"\", attach_selection=True, filters='[]')","block_group":"bd915e2859d14b75978860666dd59f2a","execution_count":null,"outputs":[],"outputs_reference":null},{"cell_type":"markdown","metadata":{"formattedRanges":[{"type":"marks","marks":{"bold":true},"toCodePoint":12,"fromCodePoint":0}],"deepnote_app_block_order":20,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"6fed9fc4f5d74caaa3ab29193a81c1aa","deepnote_cell_type":"text-cell-h2"},"source":"## 24-hour View | 24-Stunden-Ansicht","block_group":"34f25cf266a94339aa57055801f8bd81"},{"cell_type":"markdown","metadata":{"deepnote_app_block_order":21,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"cell_id":"09455243c9d7414093372af8d02a93d9","deepnote_cell_type":"markdown"},"source":"These plots provide an overview of energy production over the last 24 hours. You can identify fluctuations in power generation and compare current production with past performance and forecasts.\n\n---\n\nDiese Diagramme bieten einen Überblick über die Energieproduktion der letzten 24 Stunden. Sie können Schwankungen in der Stromerzeugung erkennen und die aktuelle Produktion mit der vergangenen Leistung sowie mit Vorhersagen.","block_group":"c6cd5a75000a4e26aaba8cb31df1d6a9"},{"cell_type":"code","metadata":{"source_hash":"8a431cc6","execution_start":1740154700434,"execution_millis":10,"execution_context_id":"b40db310-b176-49e3-a9f9-e171aa47dd9c","deepnote_chart_height":442,"deepnote_variable_name":"rolling_view_short_term","deepnote_app_block_order":22,"deepnote_config_collapsed":false,"deepnote_app_block_visible":true,"deepnote_app_block_group_id":null,"deepnote_visualization_spec":{"layer":[{"layer":[{"mark":{"clip":true,"type":"area","color":"#f58518","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear"},"stack":"zero"},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"predictions_simulation","scale":{"type":"linear"},"stack":"zero","format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Vorhersagesimulation"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#2266D3","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"power_kW","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Leistung"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#4c78a8","tooltip":true},"encoding":{"x":{"axis":{"grid":false},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false},"sort":null,"type":"quantitative","field":"predictions_7-day sampled MA","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Vorhersagen 7-Tage-Muster"}}}]},{"layer":[{"mark":{"clip":true,"type":"trail","color":"#e45756","tooltip":true},"encoding":{"x":{"axis":{"grid":false,"title":"Uhrzeit"},"sort":null,"type":"nominal","field":"x-axis","scale":{"type":"linear","zero":false}},"y":{"axis":{"grid":false,"title":"Leistung (kW)"},"sort":null,"type":"quantitative","field":"predictions_weather-based-forecast","scale":{"type":"linear","zero":false},"format":{"type":"default","decimals":null},"formatType":"numberFormatFromNumberType"},"color":{"datum":"Vorhersagen Wetter"}}}]}],"title":" Produktion in den letzten 24 Stunden","config":{"legend":{"orient":"bottom"}},"$schema":"https://vega.github.io/schema/vega-lite/v5.json","encoding":{},"usermeta":{"tooltipDefaultMode":true}},"cell_id":"414efada0aa94ca1b3269a5b2022b248","deepnote_cell_type":"visualization"},"source":"_dntk.DeepnoteChart(rolling_view_short_term, \"\"\"{\"layer\":[{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"area\",\"color\":\"#f58518\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\"},\"stack\":\"zero\"},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"predictions_simulation\",\"scale\":{\"type\":\"linear\"},\"stack\":\"zero\",\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Vorhersagesimulation\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#2266D3\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"power_kW\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Leistung\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#4c78a8\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false},\"sort\":null,\"type\":\"quantitative\",\"field\":\"predictions_7-day sampled MA\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Vorhersagen 7-Tage-Muster\"}}}]},{\"layer\":[{\"mark\":{\"clip\":true,\"type\":\"trail\",\"color\":\"#e45756\",\"tooltip\":true},\"encoding\":{\"x\":{\"axis\":{\"grid\":false,\"title\":\"Uhrzeit\"},\"sort\":null,\"type\":\"nominal\",\"field\":\"x-axis\",\"scale\":{\"type\":\"linear\",\"zero\":false}},\"y\":{\"axis\":{\"grid\":false,\"title\":\"Leistung (kW)\"},\"sort\":null,\"type\":\"quantitative\",\"field\":\"predictions_weather-based-forecast\",\"scale\":{\"type\":\"linear\",\"zero\":false},\"format\":{\"type\":\"default\",\"decimals\":null},\"formatType\":\"numberFormatFromNumberType\"},\"color\":{\"datum\":\"Vorhersagen Wetter\"}}}]}],\"title\":\" Produktion in den letzten 24 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