Electricity load profile classification using Fuzzy C-Means method

Iswan Prahastono, David J. King, Cuneyt Suheyl Ozveren, David A. Bradley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)
81 Downloads (Pure)

Abstract

This paper presents the Fuzzy C-Means (FCM) clustering method. The FCM technique assigns a degree of membership for each data set to several clusters, thus offering the opportunity to deal with load profiles that could belong to more than one group at the same time. The FCM algorithm is based on minimising a c-means objective function to determine an optimal classification. The simulation of FCM was carried out using actual sample data from Indonesia and the results are presented. Some validity index measurements was carried out to estimate the compactness of the resulting clusters or to find the optimal number of clusters for a data set.
Original languageEnglish
Title of host publication43rd International Universities Power Engineering Conference
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages5
ISBN (Electronic)9788889884096
ISBN (Print)9781424432943
DOIs
Publication statusPublished - 2008
Event43rd International Universities Power Engineering Conference - Padova, Italy
Duration: 1 Sep 20084 Sep 2008
Conference number: 43

Conference

Conference43rd International Universities Power Engineering Conference
Abbreviated titleUPEC 2008
CountryItaly
CityPadova
Period1/09/084/09/08

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Prahastono, I., King, D. J., Ozveren, C. S., & Bradley, D. A. (2008). Electricity load profile classification using Fuzzy C-Means method. In 43rd International Universities Power Engineering Conference IEEE . https://doi.org/10.1109/UPEC.2008.4651527