Forecasting Experiments

Nowcasting and Short-Term Forecasting

Evaluated the same modeling pipeline for current-state estimation and short-term forecasting from sequences of satellite images.

Experiments were carried out across multiple geographic areas and time periods to assess the consistency of the approach.

Persistence Baseline

Persistence was used as the reference forecast, providing a simple and interpretable benchmark for evaluating the deep-learning model.

Application to Unseen Data

Trained models were applied to held-out periods, with predicted and measured regional PV production compared through time-series analysis and summary metrics.