Accurate short-term wind speed prediction is crucial for wind power systems. Authors propose a machine learning-based short-term wind prediction network using CNN-Transformer architecture, demonstrating strong transferability and robustness for predicting wind speeds in various climatic regions.
- Zongwei Zhang
- Lianlei Lin
- Hangyi Yu