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.

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

Industrial solar ROI simulator with PVGIS API integration

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

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.

This workflow automatically monitors solar energy production every 2 hours by fetching data from the Energidataservice API. If the energy output falls below a predefined threshold, it instantly notifies users via email. Otherwise, it logs the data into a Google Sheet and posts a daily summary to Slack.

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