solar-energy-forecasting

Townsend snow loss (via pvlib) + precipitation-aware soiling model using monthly climate inputs (manual-clean option); month-by-month results to support EPC yield estimates and O&M cleaning plans.

DWD Global Radiation Observation and Forecast Data Library - a Python package providing access to Surface Incoming Solar Radiation (SIS) or Global Horizontal Irradiance (GHI) data from Deutscher Wetterdienst (DWD). Covers Germany, Austria, and Switzerland. Useful for photovoltaic systems and Smart Home scenarios.

Forecasting Solar Energy using Time Series Analysis.

Solar power production calculator from forecast data.

AI-powered monitoring, forecasting, simulation and decision support for hybrid solar and wind energy systems.

Risk-aware and explainable AI framework for solar-integrated residential energy management (HEMS) under forecast uncertainty. Features ML-based solar/load forecasting, empirical sigma risk margins, SHAP explainability, an LLM-powered energy assistant, ESP32 IoT telemetry, and safe relay control.

Databricks MLOps pipeline for automated seven-day solar-yield forecasting using PySpark, XGBoost, MLflow and pvlib.

Geospatial + ML pipeline for identifying and ranking university campus rooftops for solar PV deployment — XGBoost energy prediction (R²=0.944) + AHP-TOPSIS multi-criteria ranking across 135 buildings at the University of Lagos.

ML dashboard for solar energy monitoring and forecasting. Isolation Forest anomaly detection, automated Slack/email alerts, financial impact.

Built a multi-step solar energy predictor using Spatial-Temporal Transformers, fusing deep learning with real-world sustainability.

Solar day simulator with a validated physics engine, A minute of 3D animated timelapse, and white-label commercial layer

Industrial solar ROI simulator with PVGIS API integration

Packaged version of the FMI PV model and forecasting tool. With some tweaks and updates.