Adaptive multi-scale dual-attention network with hyperparameter learning for short-term photovoltaic power forecasting
Accurate short-term photovoltaic (PV) power forecasting is crucial for reliable operation and efficient dispatch of modern power systems. However, PV generation is strongly affected by meteorological variability and exhibits pronounced intermittency, fluctuations, and heterogeneous temporal characteristics. To addres...