Short-term photovoltaic power forecasting under extreme weather conditions based on feature mode decomposition and adaptive sparse self-attention
Aiming at the strong non-stationarity, pronounced abrupt changes, and error accumulation that characterize photovoltaic power series under extreme weather conditions, this paper proposes a short-term photovoltaic power prediction model, feature mode decomposition (FMD)- long short-term memory (LSTM)- adaptive sparse se...