Welcome to F97.BE!
Python, Photons, and Predictions.
AI Energy Production Forecast
This page shows my solar energy forecast powered by two AI models trained on over 1500 days of real world data pulled from my Fronius inverter and Open-Meteo. Each day, two models - Random Forest and Gradient Boosting - are evaluated and compared using key performance metrics, including R² score and MAE. My system automatically selects the best performing model to generate the most accurate forecast possible.
By combining weather predictions with historical production patterns, the forecast estimates daily solar yield in kWh, and provides side by side comparisons with my GTI based forecast and actual inverter data.
The real world data was last updated on: 14.08.2025