Xiu-Yong Zhao

Physics-Guided Deep Learning for Short-Term Probabilistic Offshore Wind Power Forecasting

To address the nonlinear amplification of numerical weather prediction (NWP) errors and the difficult trade-off between coverage and sharpness in short-term offshore wind power forecasting, this paper proposes PRWind, a physics-guided framework for short-term probabilistic forecasting. Built upon a Transformer encoder,...