Paper Info
Title
Fuzzy Load Forecasting Of Electric Power System
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.
Year
DOI
Venue
2012
10.4304/jcp.7.8.1903-1910
JOURNAL OF COMPUTERS
Keywords
DocType
Volume
load forecasting, fuzzy clustering, regression analysis, fuzzy judgment matrixes
Journal
7
Issue
ISSN
Citations 
8
1796-203X
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Yan Yan1124.02
Aimin Yang200.34