Demand response analysis in smart grids resorting to fuzzy clustering model

dc.contributor.authorMelício, Rui
dc.contributor.authorFigueiredo, João
dc.contributor.authorMendes, Victor
dc.contributor.editorCamarinha-Matos, L. M.
dc.contributor.editorTomic, S.
dc.contributor.editorGraça, P.
dc.contributor.editorSpringer
dc.date.accessioned2014-01-02T13:01:28Z
dc.date.available2014-01-02T13:01:28Z
dc.date.issued2013-04-15
dc.description.abstractThis paper focuses on an analysis of demand response in a smart grid context, presenting the model considerations and architecture. Domestic consumption is divided into groups in order to cover the adequate modeling. A fuzzy subtractive clustering method is applied to demand response on several domestic consumption scenarios and results analyses are presented. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economical benefits.por
dc.identifier.authoremailruimelicio@uevora.pt
dc.identifier.authoremailjfig@uevora.pt
dc.identifier.authoremailvfmendes@uevora.pt
dc.identifier.scientificarea483por
dc.identifier.urihttp://hdl.handle.net/10174/9153
dc.language.isoengpor
dc.publisherSPRINGERpor
dc.rightsrestrictedAccesspor
dc.subjectDemand responsepor
dc.subjectsmart gridpor
dc.subjectFuzzy subtractive clusteringpor
dc.titleDemand response analysis in smart grids resorting to fuzzy clustering modelpor
dc.typebookPartpor

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