Machine learning outperforms traditional models in wind power forecasting.
problem Improving wind power prediction accuracy using machine learning.
method Used CART-Bagging algorithm and refined predictor selection methods.
result Machine learning algorithms, especially CART-Bagging, provide stable and promising wind power forecasts.