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Characterization of mv consumers using hierarchical clustering

2004-07-23Comunicação em conferência Acesso aberto
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorFigueiredo, V.
dc.contributor.authorPinheiro, R.
dc.contributor.authorCarvalho Ramos, Sérgio Filipe
dc.contributor.authorRodrigues, Maria de Fátima Coutinho
dc.contributor.authorVale, Zita
dc.contributor.editorRamos, Carlos
dc.contributor.editorVale, Zita
dc.date.accessioned2026-04-10T08:02:05Z
dc.date.available2026-04-10T08:02:05Z
dc.date.issued2004-07-23
dc.description.abstractWith the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. A fair insight on the customers’ behaviour will permit the definition of specific contract aspects based on the different, consumption patterns. In this paper, we propose a Knowledge Discovery in Databases project applied to electricity consumption data from a utility client’s database. To form the different customers’ classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.eng
dc.identifier.citationRamos, S., Figueiredo, V., Rodrigues, F., Pinheiro, R. & Vale, Z. (2004, July 21-23). Characterization of MV consumers using hierarchical clustering. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 199-204). Porto. Portugal
dc.identifier.isbn972-8688-24-5
dc.identifier.urihttp://hdl.handle.net/10400.22/32201
dc.language.isoeng
dc.peerreviewedyes
dc.publisherKnowledge Engineering and Decision Support Research Group - GECAD
dc.rights.uriN/A
dc.subjectelectricity markets
dc.subjectload profiles
dc.subjecthierarchical clustering
dc.subjectclassification
dc.titleCharacterization of mv consumers using hierarchical clusteringeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2004-07-23
oaire.citation.conferencePlacePorto, Portugal
oaire.citation.endPage204
oaire.citation.startPage199
oaire.citation.titleInternational Conference of Knowledge Engineering and Decision Support, ICKEDS´04
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCarvalho Ramos
person.familyNameRodrigues
person.familyNameVale
person.givenNameSérgio Filipe
person.givenNameMaria de Fátima Coutinho
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1120-5656
person.identifier.orcid0000-0003-4950-7593
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7101624989
person.identifier.scopus-author-id7004115775
relation.isAuthorOfPublicationf01a54a0-e6c0-4cf3-afd8-5a664bbac7b4
relation.isAuthorOfPublicationd144c436-b126-4215-aff5-909fc2f87302
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryf01a54a0-e6c0-4cf3-afd8-5a664bbac7b4

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ISEP – DEI – Comunicações em eventos científicos