Short-Term Wind Power Forecasting Based on ICEEMDAN-EWT Decomposition, Complexity-Adaptive Networks, and Error Correction
Short-term wind power forecasting is challenging because power output exhibits strong non-stationarity, stochastic fluctuations, and multi-scale temporal characteristics. This study proposes an ICEEMDAN-EWT forecasting framework whose principal methodological contribution is a complexity-based network assignment strate...