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Conference Sep 2026

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...

Fu-Bin Liu, Xiao-Gang Li, Zhao-Qiang Ge et al. · 0 citations

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