A generalized machine learning approach for multi-site solar power forecasting using histogram-based gradient boosting
The integration of distributed photovoltaic (PV) systems into modern smart grids requires highly accurate, low-latency power forecasting. Usually, forecasting models are trained on a per-site basis, which scales worse across large grid networks. This paper proposes a Generalized Capacity Factor machine learning framewo...