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《Journal of Baoji University of Arts and Sciences(Natural Science Edition)》 2009-01
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Forecasting study of short-term wind speed based on SVM

WANG Hui-qin1,2(1.Department of Mathematics,Baoji University of Arts and Sciences,Baoji 721013,Shaanxi,China;2.School of Science,Xi'an University of Science and Technology,Xi'an 710054,Shaanxi,China)  
Aim In order to reduce the forecasted error of wind speed on wind farm,a study of the forecasting model of short-term wind speed based on SVM(Support Vector Machine)was made.Methods SVM regression estimate algorithm is applied to building forecasting model.Results The presented method applied to actual wind speed forecasting,the results show that the forecasted errors are decreased really.Conclusion Compared with traditional regression algorithm(such as ARMA),the building model is feasible and effective.
【Fund】: 宝鸡文理学院项目基金资助(zk0785)
【CateGory Index】: TM614;O212.1
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