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dc.contributor.authorRodrigues, Douglas
dc.contributor.authorOba Ramos, Caio Cesar [UNESP]
dc.contributor.authorSouza, Andre Nunes de [UNESP]
dc.contributor.authorPapa, Joao Paulo [UNESP]
dc.contributor.authorArnaud, A.
dc.contributor.authorSilveira, F.
dc.contributor.authorGarcia, L.
dc.date.accessioned2018-11-26T16:48:31Z
dc.date.available2018-11-26T16:48:31Z
dc.date.issued2015-01-01
dc.identifier.citation2015 Ieee 6th Latin American Symposium On Circuits & Systems (lascas). New York: Ieee, 4 p., 2015.
dc.identifier.issn2330-9954
dc.identifier.urihttp://hdl.handle.net/11449/161764
dc.description.abstractWith the consolidation of Smart Grids, a considerable amount of works can be noticed, mainly with respect to the application of several artificial intelligence techniques in order to automatically identify non-technical losses, but the problem of selecting the most representative features has not been widely discussed. In this work, we make a parallel among the problem of non-technical losses and the task of irregular consumers characterization by means of a recent meta-heuristic optimization technique called Black Hole Algorithm (BHA). The experimental setup is conducted over two private datasets provided by a Brazilian electric power company, and it shows the importance of selecting the most relevant features in the context of nontechnical losses identification, as well as the suitability of BHA to this task.en
dc.format.extent4
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2015 Ieee 6th Latin American Symposium On Circuits & Systems (lascas)
dc.sourceWeb of Science
dc.titleBlack Hole Algorithm for Non-technical Losses Characterizationen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationUniv Fed Sao Carlos, Dept Comp Sci, Sao Carlos, SP, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Elect Engn, Bauru, SP, Brazil
dc.description.affiliationUNESP Univ Estadual Paulista, Dept Comp, Bauru, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Elect Engn, Bauru, SP, Brazil
dc.description.affiliationUnespUNESP Univ Estadual Paulista, Dept Comp, Bauru, SP, Brazil
dc.identifier.wosWOS:000380477800002
dc.rights.accessRightsAcesso aberto
unesp.author.lattes8212775960494686[3]
unesp.author.orcid0000-0002-8617-5404[3]
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