Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/94790
Type: Artigo de evento
Title: Clustering Bus Load Curves
Author: Salgado R.M.
Ohishi T.
Ballini R.
Abstract: This paper proposes the clustering of a set of busses through a fuzzy c-means clustering approach. The utilization of fuzzy techniques in a clustering problem aims the attainment of a partition fuzzy in the data set, allowing degrees of relationship between different elements of the set, this way, an element can belong to more than one group with different membership value. In this paper the clustering algorithm aims at exploring data characteristics and determining groups composed by busses with similar bus daily load. Results show the efficiency of the clustering method, where the data was classified into distinct groups such as: commercial, residential and industrial consumption profiles. © 2004 IEEE.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-15944412089&partnerID=40&md5=915cbc57ecb000c5413bf99bd2ce19e9
Date Issue: 2004
Appears in Collections:Unicamp - Artigos e Outros Documentos

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