Wind Power Prediction Based on Fuzzy Information Granulation
Nan Sheng, Guochu Chen · 2015
In this paper, a new method for predicting the value of wind power is proposed, which combine fuzzy information granulation and support vector machine.Firstly,extract the original data and make fuzzy information granulation of the original data.Secondly,do the regression prediction of the granulated data by SVM.Finally,present the data of wind power,and verify the forecasting result.