Open access
2026
A Hybrid Deep Learning Framework with Adaptive Signal Decomposition for Enhanced Ultra-Short-Term Wind Power Forecasting in Power System Operations
A novel hybrid intelligent framework—integrating Improved Lotus Effect Algorithm, Variational Mode Decomposition, and ensemble deep learning—specifically designed for ultra-short-term wind power prediction in energy dispatch applications is engineers, which employs elite chaotic opposition-based learning to autonomously optimize VMD decomposition levels.
Lei Shen, Qifeng Xiang, Q. Gao et al.
· Energy Engineering · 0 citations