Fuzzy clustering applied to a demand response model in a smart grid contingency scenario

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dc.contributor.authorPereira, Rita
dc.contributor.authorFagundes, Andre
dc.contributor.authorMelicio, Rui
dc.contributor.authorMendes, Victor
dc.contributor.authorFigueiredo, Joao
dc.contributor.authorMartins, Joao
dc.contributor.authorQuadrado, Jose
dc.date.accessioned2015-03-20T13:09:27Z
dc.date.available2015-03-20T13:09:27Z
dc.date.issued2014-06
dc.description.abstractThis paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.por
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dc.identifier.authoremailjfig@uevora.pt
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dc.identifier.citationR. Pereira, A. Fagundes, R. Melício, V.M.F. Mendes, J. Figueiredo, J. Martins, J.C. Quadrado, "Fuzzy clustering applied to a demand response model in a smart grid contingency scenario", in: Proceedings of the International Symposium on Power Electronics, Electrical Drives and Motion — SPEEDAM 2014, pp. 495-499, Ischia, Italy, 18-20 June 2014.por
dc.identifier.scientificarea493por
dc.identifier.urihttp://hdl.handle.net/10174/13448
dc.identifier.withinvitedoralpresentationnaopor
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dc.language.isoporpor
dc.publisherProceedings of the International Symposium on Power Electronics, Electrical Drives and Motion — SPEEDAM 2014por
dc.rightsopenAccesspor
dc.subjectdemand responsepor
dc.subjectfuzzy clusteringpor
dc.subjectsmart gridpor
dc.subjectcontingencypor
dc.titleFuzzy clustering applied to a demand response model in a smart grid contingency scenariopor
dc.typelecturepor

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