DocumentCode
816480
Title
A Statistic-Fuzzy Technique for Clustering Load Curves
Author
Li, Wenyuan ; Zhou, Jiaqi ; Xiong, Xiaofu ; Lu, Jiping
Author_Institution
British Columbia Transmission Corp., Vancouver, BC
Volume
22
Issue
2
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
890
Lastpage
891
Abstract
This letter presents a statistic-fuzzy technique for clustering load curves. Historical statistical records of load curves are used to create membership functions of the compatible fuzzy relation matrix and the self-multiplication rule of the fuzzy matrix is used to obtain the transferable nearness coefficients which can be utilized to systematically perform clustering of load curves. An example is given to demonstrate the application
Keywords
fuzzy set theory; load management; matrix algebra; pattern clustering; statistical analysis; fuzzy relation matrix; load curve clustering; membership functions; self-multiplication rule; statistic-fuzzy technique; Customer service; Data processing; Fuzzy sets; Fuzzy systems; Load forecasting; Power system analysis computing; Shape; Statistics; Substations; Clustering; fuzzy relation; load curves; power systems;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2007.894851
Filename
4162606
Link To Document