Open access
Sep 2026
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...
S. Nyirenda, Musa Ndiaye, Esau Zulu et al.
· Energies · 0 citations