Short-term photovoltaic power forecasting under complex weather conditions using optimized signal decomposition and attention-based learning
Photovoltaic (PV) power sequences exhibit significant intermittency and strong non-stationarity under complex weather conditions, particularly during rapid cloud movements, posing significant challenges for short-term forecasting. To address this, this study proposes a hybrid deep learning forecasting model. First, the...