Dual-Layer Drift Detection and Adaptive Retraining for Ultra-Short-Term Photovoltaic Power Forecasting
In operational environments, photovoltaic (PV) forecasting models progressively degrade due to drift events induced by changing environmental conditions, system aging, and surface soiling. Mainstream forecasting models are typically trained under static assumptions and rarely account for such non-stationary effects, re...