Esau Zulu

Evaluating Domain-Aware Random Forests for Short-Term Photovoltaic Power Forecasting

Data-driven machine learning (ML) models forecast photovoltaic (PV) power accurately, but the conventional Random Forest (RF) samples candidate predictors uniformly and therefore ignores established physical knowledge about how meteorological variables drive PV generation. This paper proposes the Domain-Aware Random Fo...