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A Data Mining Framework for Electric Load Profiling

2013-04Conference object Restricted access
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dc.contributor.authorRamos, Sérgio
dc.contributor.authorDuarte, João
dc.contributor.authorDuarte, F. Jorge
dc.contributor.authorVale, Zita
dc.contributor.authorFaria, Pedro
dc.date.accessioned2015-05-04T16:17:37Z
dc.date.available2015-05-04T16:17:37Z
dc.date.issued2013-04
dc.description.abstractThis paper consists in the characterization of medium voltage (MV) electric power consumers based on a data clustering approach. It is intended to identify typical load profiles by selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The best partition is selected using several cluster validity indices. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers’ behavior. The data-mining-based methodology presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partitions. To validate our approach, a case study with a real database of 1.022 MV consumers was used.por
dc.identifier.doi10.1109/ISGT-LA.2013.6554489
dc.identifier.urihttp://hdl.handle.net/10400.22/5901
dc.language.isoengpor
dc.publisherIEEEpor
dc.relation.ispartofseriesPES;2013
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6554489&queryText%3DA+Data+Mining+Framework+for+Electric+Load+Profilingpor
dc.subjectData miningpor
dc.subjectClusteringpor
dc.subjectSmart Gridpor
dc.subjectTypical load profilespor
dc.titleA Data Mining Framework for Electric Load Profilingpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSão Paulo, Brazilpor
oaire.citation.endPage6por
oaire.citation.startPage1por
oaire.citation.title2013 IEEE PES Conference on Innovative Smart Grid Technologies (ISGT Latin America 2013)por
person.familyNameCarvalho Ramos
person.familyNameVale
person.familyNameFaria
person.givenNameSérgio Filipe
person.givenNameZita
person.givenNamePedro
person.identifier632184
person.identifier.ciencia-id6D1F-C495-6660
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.orcid0000-0002-1120-5656
person.identifier.orcid0000-0002-4560-9544
person.identifier.orcid0000-0002-5982-8342
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.isAuthorOfPublication35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6
relation.isAuthorOfPublication.latestForDiscovery35e6a4ab-f644-4bc5-b6fc-9fd89c23d6c6

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