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《Journal of Changchun Institute of Technology(Natural Sciences Edition)》 2009-01
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Short-term load forecasting in power system based on improved fuzzy neuro net

YANG Hua-fen(Dept.of Computer Science,Qujing NormalCollege,Qujing 655000,China)  
An improved fuzzy neuro net based on T-S model is presented in this paper.Firstly,the structure of fuzzy neuro net(FNN)is decided by improved clustering,then the primise parameters and consequent parameters of FNN are trained by hybrid learning algorithm,finally related data are input into the trained FNN to forecast electricity load.The results show that this method can obtain higher forecasting accuracy,so it has more value.
【CateGory Index】: TM715;TP183
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