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
fDate :
5/1/2007 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2007.894851
