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《Journal of Donghua University(Natural Science)》 2006-02
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A New Method for Short-term Load Forecasting for Special Days

LI Zheng, ZHANG Zhi-jie (College of Information Science and Technology, Donghua University, Shanghai, 200051)  
Fuzzy logic is better for dealing with uncertainty. In this paper, we present a method for short-term load forecasting for special days using fuzzy logic. The model we presented aims at the particularity of sort-term load forecasting for special days and can achieve better precise when the available data are not enough to forecast the load by other methods. The simulation results illustrate that the model is available.
【CateGory Index】: TM715
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 MA Wen-xiao, BAI Xiao-min, MU Lian-shun (China Electric Power Research Institue, Beijing 100085, China);SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURON NETWORK AND FUZZY INFERENCE[J];Power System Technology;2003-05
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LIU Hao-ming YU Kun LIANG Jin-guo CHEN Xing-ying (Hohai University,Nanjing 210098,China);A new method of short-term load forecasting for special holidays[J];Power Demand Side Management;2006-05
2 Ju Ping1 ,Jiang Wei1 ,Zhao X iayang1 ,Wang Junkai2 ,Zhang Shixue2 ,L iu Yan2 1.Hohai University,Nanjing2 10 0 98,China 2 .Shanxi Provincial Power Company,Xi'an 710 0 0 4,China;NINETY- SIX POINTSSHORT- TERM LOAD FORECASTING—— THEORY &APPLICATIONS[J];Automation of Electric Power Systems;2001-22
3 WEI Zhi-nong , Chang Bao-li , Wang Fang-zhong , Li Man-ling , Wang Quan ( Hohai University, Nanjing 210098, China) ( Xinxiang Power Supply Company, Xinxiang 453002, China);Real-time Control System for Economical Operation of Transformers in the Area Power Network[J];Automation of Electric Power Systems;2006-01
4 GENG Wei-hua,SUN Qu,ZHANG Cui-xia,CHEN Xiao-yan (School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China);Short-Term Load Forecasting Based on Improved Fuzzy Neural Network[J];Proceedings of the Chinese Society of Universities for Electric Power System and Automation;2007-05
5 WU Hong-xiao, HOU Zhi-jian(School of Electronics & Electrical Engineering, Shanghai Jiaotong University, Xuhui District, Shanghai 200030, China);A SHORT-TERM LOAD FORECASTING APPROACH BASED ON IMMUNE SUPPORT VECTOR MACHINES[J];Power System Technology;2004-23
6 YANG Yan-xi,LIU Ding (School of Automation and Information Engineering,Xi’an University of Technology, Xi’an 710048,Shaanxi Province,China);SHORT-TERM LOAD FORECASTING BASED ON WAVELET TRANSFORM AND LEAST SQUARE SUPPORT VECTOR MACHINES[J];Power System Technology;2005-13
7 DU Xin-wei1,LIU Di-chen1,LI Yuan1,XIONG Yuan-xin1,WANG Xiao-jun2 (1.School of Electrical Engineering,Wuhan University,Wuhan 430072,Hubei Province,China; 2.Qingjiang Hydroelectric Development Co., Ltd.,Yichang 443503,Hubei Province,China);Application of Adaptive Neuro-Fuzzy Inference System in Power System Fault Recurrence[J];Power System Technology;2006-06
8 JIANG Hui-lan, LIU Xiao-jin, GUAN Ying, WANG Meng-bin (School of Electrical Engineering and Automation, Tianjin University, Nankai District, Tianjin 300072, China);Short-Term Load Forecasting Based on Hard-C Mean Clustering Algorithm and Support Vector Machine[J];Power System Technology;2006-08
9 ZHANG Ya-jun, LIU Zhi-gang, ZHANG Da-bo (Institute of Electrification & Automation, Southwest Jiaotong University, Chengdu 610031, Sichuan Province, China);A Combination Load Forecasting Model Based on Multi-Neural Networks[J];Power System Technology;2006-21
10 GENG Wei-hua,SUN Qu,LI Xing-yuan (School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,Sichuan Province,China);Short-Term Load Forecasting Based on Compensated Fuzzy Neural Networks and Linear Models[J];Power System Technology;2006-23
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 ZHOU Dian min, GUAN Xiao hong, SUN Jie, HUANG Yong (Xi'an Jiaotong University, Xi'an 710049, Shaanxi Province, China);A SHORT-TERM LOAD FORECASTING SYSTEM BASED ON BP ARTIFICIAL NEURAL NETWORK[J];Power System Technology;2002-02
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