May 2025 – Dec. 2025 | Development of an ARIMAX Model for PV Power Forecasting

Developed a deterministic time series model in Python based on ARIMAX to forecast photovoltaic (PV) power output (AC power as the endogenous variable).
Exogenous variables included solar elevation angle, clear-sky power, cloud cover, and Fourier-based seasonality components.
The final model achieved a MAPE of 12.88% and served as a foundation for further improvements in forecasting accuracy.