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《Proceedings of the Chinese Society of Universities for Electric Power System and Automation》 2007-06
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Chaotic Time Series Method for Load Forecasting Based on Fuzzy Support Vector

ZHENG Yong-kang,CHEN Wei-rong,JIANG Gang,HAO Wen-bin (School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China)  
According to the chaotic characteristic of power load,fuzzy support vector based kernel regression method is proposed for load forecasting.Then,multi-parameter synchronous optimization strategy is presented to speed up the optimization process.Case study shows that the method has lower error and can avoid over-fitting effectively,which is better than conventional neural network method.It is of great value for engineering application.
【CateGory Index】: TM715
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