Oct 2026
A Wind Power Prediction Method Based on VMD-MI-HC-CEEMDAN Decomposition and LSTM-SE-MSConvFormer
High-accuracy wind power forecasting technology is crucial for enhancing grid operational stability given the high and increasing proportion of renewable energy. Although the existing methods can enhance data feature modeling ability to some extent, they generally fail to handle nonstationary components and capture dee...
Jie Chen, Heyanqi Yang, Ming Yang et al.
· IEEE Sensors Journal · 0 citations