Adds EPEX Spot data to Home Assistant.
Provides helper sensors for EPEX Spot integration.
Charge your Tesla in the cheapest hours, automatically. A small ESP32 board by the car reads day-ahead prices and your grid fees, then starts and stops charging over Bluetooth. No cloud, no Tesla account, no subscription. 26 European countries.
SQL and PostgreSQL pipeline for exploratory analysis of negative day-ahead electricity prices in the DE-LU bidding zone using SMARD data.
Ready-to-use Home Assistant, Node-RED and smart-home examples for the free, keyless InfraNode API (open data for 84 German cities)
End-to-end data analytics pipeline analyzing German electricity market pressure, prices and renewable generation using Python, SQL, DuckDB and Data Studio.
German day-ahead electricity prices per quarter hour with explanations, sensors, actions and dashboard cards for Home Assistant (strompreis-verstehen.de)
End-to-end German electricity-market data pipeline - Python API ingestion into DuckDB, dbt transformations (6 models, 20 tests), quarter-hourly solar source reconciliation, negative-price and solar capture-price analysis.
Build an easy-to-operate IoT-device that displays the current proportion of green electricity in the grid.
Energiewende-Monitor: SMARD und MaStR als Star-Schema in SQL Server, Basis für ein öffentliches Power-BI-Modell / German electricity-market data as a SQL Server star schema behind a public Power BI model
Day-ahead electricity price forecasting for Germany/Luxembourg from public SMARD data: auction-safe features, rolling-origin backtest, gradient boosting 26% better than the naive forecast.
GridFlex: reproducible battery storage (BESS) dispatch optimisation and day-ahead market backtesting for Germany (DE-LU). Leakage-safe price forecasts, MILP (PuLP + HiGHS) with verified schedules, settlement, finance and a Streamlit viewer, on real SMARD data.
Stromdaten aus dem SMARD-Portal analysiert mit Python, PostgreSQL und Power BI
AI-Powered German Energy Market Analytics | Electricity Price Forecasting, Renewable Energy, Python, Machine Learning & Data Engineering
Smart battery & EV charging on real German day-ahead prices: rolling MILP vs. standard rule (SMARD, Open-Meteo, HiGHS)
Flexible operation of an agricultural biogas CHP plant on Polish (and German) day-ahead prices: MILP dispatch, realizable forecast strategy, CHP oversizing and gas storage economics, support-scheme scenarios.
Open-source grid situational-awareness dashboard for Germany and Europe from official public data (SMARD, Energy-Charts, ENTSO-E, Open-Meteo). FastAPI + TimescaleDB + Next.js. Read-only and advisory.
German power prices, load and renewables from SMARD, ingested daily, kept correct through revisions and market changes, and served through a public API.
Day-ahead electricity price forecasting for the German market with strict data-leakage control. Uses lagged prices, calendar features, and 24h-shifted wind/solar forecasts. Ensemble of HistGradientBoosting and Ridge regression.
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