Xiangming Zeng

A component-aware progressive transfer learning method for wind power forecasting in newly built wind farms

Accurate wind power forecasting is essential for wind farm operation and grid integration. However, newly built wind farms often have limited historical data, restricting the performance of data-driven models. Under data scarcity, conventional deep learning models tend to overfit...