Logo do repositório
 
Publicação

Data mining techniques to support the classification of MV electricity customers

dc.contributor.authorRamos, Sérgio
dc.contributor.authorVale, Zita
dc.date.accessioned2013-04-22T11:53:26Z
dc.date.available2013-04-22T11:53:26Z
dc.date.issued2008
dc.date.updated2013-04-12T14:50:22Z
dc.description.abstractThis paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.por
dc.identifierDOI 10.1109/PES.2008.4596669
dc.identifier.isbn978-1-4244-1905-0
dc.identifier.isbn978-1-4244-1906-7
dc.identifier.issn1932-5517
dc.identifier.urihttp://hdl.handle.net/10400.22/1450
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4596669por
dc.subjectTypical load profilepor
dc.subjectClusteringpor
dc.subjectData miningpor
dc.subjectClassificationpor
dc.subjectConsumer classespor
dc.titleData mining techniques to support the classification of MV electricity customerspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePittsburgh, PA, USA, 2008por
oaire.citation.titleIEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Centurypor
person.familyNameCarvalho Ramos
person.familyNameVale
person.givenNameSérgio Filipe
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-1120-5656
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7004115775
rcaap.rightsclosedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationf01a54a0-e6c0-4cf3-afd8-5a664bbac7b4
relation.isAuthorOfPublicationff1df02d-0c0f-4db1-bf7d-78863a99420b
relation.isAuthorOfPublication.latestForDiscoveryf01a54a0-e6c0-4cf3-afd8-5a664bbac7b4

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
COM_SergioRamos_2008_GECAD.pdf
Tamanho:
449.5 KB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição: