Open access
Oct 2026
Robust Short-Term Wind Power Forecasting Using Variational Mode Decomposition and Weighted Machine Learning Models
Wind power forecasting is essential for maintaining grid stability due to the inherent intermittency and nonlinear dynamics of wind energy. This study proposes a robust two-stage hybrid framework for short-term wind power prediction integrating variational mode decomposition (VMD), artificial neural networks (ANNs), an...
Mohammed Gendeel, Yu-Xian Zhang, Xiao-Yi Qian et al.
· Wind · 0 citations