Wind power generation prediction model based on secondary reconstruction decomposition and CNN-Transformer-AcfPSO-BiLSTM in extreme weather conditions
Extreme weather can easily cause drastic fluctuations in renewable energy output, which seriously endangers the operational stability and power supply reliability of power systems. Existing ultra-short-term prediction methods struggle to accurately characterize the nonlinear dynamic features of renewable energy under...