Wind Power Prediction Based on CEEMDAN-VMD Two-Level Decomposition and CNN-BiLSTM Hybrid Network
With the increasing penetration of wind power in the electric power system, the impact of wind power prediction accuracy on the safe and stable operation of the grid has become increasingly prominent. In view of the limitations of traditional prediction methods, which struggle to effectively handle the non-stationarity...