Wind Speed Forecasting Based on Combination of Wavelet Packet Analysis With Support Vector Regression
Haoyong Chen · Power System Technology · 2011
By use of the combination of wavelet package transform with support vector regression(SVR),the one hour to six hour-ahead wind speed forecasting of each ten minute is researched.Firstly,in view of the non-stationary and nonlinear features of wind speed,the original wind speed sequence is decomposed into a series of sub-sequences;then these sub-sequences are respectively forecasted by SVR;finally,respective outputs are superposed to obtain final forecasted wind speed.Taking two sets of measured data possessing different characteristics in a certain wind farm as application cases,the application results show that by use of wavelet package transform the variation of wind speed can be grasped better;due to the better learning ability of SVR,the combination of wavelet package transform with SVR is superior to existing wind speed forecasting methods.