Researchers led by Zhang Zongwei from Harbin Institute of Technology have developed MFWPN, a machine learning model that outperforms ECMWF-HRES in short-term hub-height wind speed forecasting. Utilizing multivariate fusion and advanced spatiotemporal analysis, the model provides precise forecasts, enhancing operational efficiency and decision-making for wind power centers.