- Article
Research and Application of a Model Selection Forecasting System for Wind Speed and Theoretical Power Generation
- Ming Zeng,
- Qianqian Jia,
- Zhenming Wen,
- Fang Mao,
- Haotao Huang and
- Jingyuan Pan
Accurate short-term wind speed forecasting is essential for mitigating wind power variability and supporting stable grid operation. This study proposes a model selection forecasting system (MSFS) that dynamically integrates six deep learning models t...