Distributed photovoltaic power forecasting based on dynamic fusion of physical priors and numerical weather prediction
Distributed photovoltaic power forecasting remains difficult because existing data-driven methods mainly learn statistical correlations from historical samples and often produce physically inconsistent outputs under rapidly changing weather. From a measurement perspective, this task requires reliable inference of an...