A Novel Framework for Wind Power Prediction Based on Optimized Variational Mode Decomposition and Temporal Convolutional Network With Hybrid Attention
Ensuring accurate and reliable wind power prediction is paramount for efficient scheduling and safe operation of power systems. However, the inherent instability of wind poses challenges for traditional prediction models,
January 15, 2026
