Wind power combination prediction based on the maximum information entropy principle

Wind power prediction is of great importance for the safety and stabilization of grids. The most important and difficult problem now is to enhance the prediction precision. A combined wind power prediction model based on the maximum information entropy principle was built in this paper. The wind power series is non-gauss distribution, so the prediction model involved high central moment besides the second central moment. The prediction results showed that the proposed model can improve the prediction precision.