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《Water Resources and Power》 2010-12
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Application of Least Squares Support Vector Machine to Load Forecasting in Power System

TAO Fengling1 LI Zhaonian1 LI Jihua1 NI Sanchuan1 SHI Wangwang2 JIANG Nan2(1.Department of Hydraulic and Electric Power Engineering,Qinghai University,Xining 810016,China;2.School of Energy and Power Engineering,Yangzhou University,Yangzhou 225127,China)  
Aiming at the shortcomings of subjective classification parameters of support vector machine for load forecasting,the cycle of load series is analyzed by using spectrum analysis method.And then it compares the trend of quadratic function for yearly load sequence with that of cyclic monthly load sequence.Finally,the LS-SVMlab1.5 software is applied to predict load.The results show that the degree of fitting between the measured and predicted value is good for cyclic monthly loading sequence,and the method is simple,reasonable and practical with higher prediction accuracy.
【Fund】: 江苏高校省级重点实验室开放研究课题基金资助项目(K08016)
【CateGory Index】: TM715
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