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Author Bidoki, S.M. ♦ Mahmoudi-Kohan, N. ♦ Sadreddini, M.H. ♦ Zolghadri Jahromi, M. ♦ Moghaddam, M.P.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Electricity supply industry ♦ Energy consumption ♦ Costs ♦ Electricity supply industry deregulation ♦ Power systems ♦ Data mining ♦ Clustering methods ♦ Self organizing feature maps ♦ Clustering algorithms ♦ Performance evaluation ♦ weighted fuzzy average K-means ♦ Classical K-means ♦ clustering dispersion indicator ♦ clustering technique ♦ electrical load curves ♦ hierarchical algorithms ♦ modified follow-the-leader ♦ self-organizing maps
Abstract In the electricity market, it is highly desirable for suppliers to know the electricity consumption behavior of their customers, in order to provide them with satisfactory services with the minimum cost. Information on customers' consumption pattern in the deregulated power system is becoming critical for distribution companies. One of the suitable tools for extracting characteristics of customers is the clustering technique. Selection of better methods among several existing clustering methods should be considered. Therefore, in this paper, we evaluate the performance of Classical K-Means, Weighted Fuzzy Average K-Means, Modified Follow the Leader, Self-Organizing Maps and Hierarchical algorithms that are more applicable in clustering load curves. The performances were compared by using two adequacy measures named Clustering Dispersion Indicator and Mean Index Adequacy.
Description Author affiliation: Department of Electrical & Computer Engineering, Shiraz University, Iran (Bidoki, S.M.; Sadreddini, M.H.; Zolghadri Jahromi, M.) || Department of Electrical Engineering, Tarbiat Modares University (TMU), Tehran, Iran (Mahmoudi-Kohan, N.; Moghaddam, M.P.)
ISBN 9781424465460
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-04-19
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424465484
Size (in Bytes) 533.07 kB
Page Count 5
Starting Page 1
Ending Page 5


Source: IEEE Xplore Digital Library