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Residential electric load curve profile based on fuzzy systems

dc.contributor.authorAbreu, Thays [UNESP]
dc.contributor.authorAlves, Uilian N.L.T [UNESP]
dc.contributor.authorMinussi, Carlos R [UNESP]
dc.contributor.authorLotufo, Anna Diva P. [UNESP]
dc.contributor.authorLopes, Mara L. M. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T16:42:20Z
dc.date.available2018-12-11T16:42:20Z
dc.date.issued2016-01-12
dc.description.abstractElectric energy demand in residences represents around 30% of the global demand. This requires a detailed knowledge about the electrical load patterns, leading to a change in final consumer behavior to reduce the general demand. This work uses a fuzzy system, considering the quantity of occupants in a Brazilian family in different periods of day aiming to obtain the residential electric load profile.en
dc.description.affiliationPPGEE UNESP
dc.description.affiliationMathematics Department UNESP
dc.description.affiliationUnespPPGEE UNESP
dc.description.affiliationUnespMathematics Department UNESP
dc.format.extent591-596
dc.identifierhttp://dx.doi.org/10.1109/ISGT-LA.2015.7381221
dc.identifier.citation2015 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT LATAM 2015, p. 591-596.
dc.identifier.doi10.1109/ISGT-LA.2015.7381221
dc.identifier.scopus2-s2.0-84966589348
dc.identifier.urihttp://hdl.handle.net/11449/168645
dc.language.isoeng
dc.relation.ispartof2015 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT LATAM 2015
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectActive occupation
dc.subjectFuzzy Logic
dc.subjectResidential Load Curve
dc.titleResidential electric load curve profile based on fuzzy systemsen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.author.lattes6022112355517660[4]
unesp.author.lattes7166279400544764[3]
unesp.author.orcid0000-0002-0192-2651[4]
unesp.author.orcid0000-0001-6428-4506[3]

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