Signal-Guided Dual-Predictor Learning for Ultra-Short-Term PV Power Forecasting
To address the insufficient adaptability of a unified predictor caused by the non-stationarity of photovoltaic (PV) power series, pronounced multi-scale fluctuations, and differences in the predictable structures of decomposed subcomponents, this paper proposes an ultra-short-term PV power forecasting method based on C...