Volume 7 Number 8 (Aug. 2012)
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JCP 2012 Vol.7(8): 1903-1910 ISSN: 1796-203X
doi: 10.4304/jcp.7.8.1903-1910

Fuzzy Load Forecasting of Electric Power System

Yan Yan, Aimin Yang
College of Sciences, Hebei United University, Tangshan, Hebei, China
Abstract—In order to efficiently improve the prediction accuracy, two load forecasting model based on fuzzy theory are presented, which are fuzzy clustering model and improved fuzzy regression analysis model .The method of fuzzy clustering is used to divide the area by the similar feature of load increasing. The new division is promising to improve the result of evident degree of clustering index to power load, the weighted demarcating method is inducted. Another improved fuzzy regression analysis model combines the advantages of both fuzzyforecasting and regression analysis. According to the significance of the methods under different circumstances, it evaluates flexible and adjustable weight value by analytic hierarchy process. Finally,the improved fuzzy analytical hierarchy process are presented.

Index Terms—Load forecasting, fuzzy clustering, regression analysis, fuzzy judgment matrixes.

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Cite: Yan Yan, Aimin Yang, "Fuzzy Load Forecasting of Electric Power System," Journal of Computers vol. 7, no. 8, pp. 1903-1910, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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