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《Power System Technology》 2002-09
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GENG Guang-fei, GUO Xi-qing (Electrical Engineering & Information Institute, China Agriculture University, Beijing 100083, China)  
On the basis of analyzing the modelingmechanism by fuzzy polynomial fitting an improvedpolynomial fitting model, in which the forecasting precision is increased by properly reducing the fitting error of the fitting curve at its rear part, is accomplished. The improvement method presented in this paper provides a flexible means to deal with the qualitative fuzzy factors in load forecasting. The feasibility and advantage of the presented model is tested and validated by actual examples.
【CateGory Index】: TM714.1
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