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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72448
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dc.contributor.authorMelo, J. D.-
dc.contributor.authorCarreno, E. M.-
dc.contributor.authorPadilha-Feltrin, A.-
dc.date.accessioned2014-05-27T11:25:53Z-
dc.date.accessioned2016-10-25T18:33:57Z-
dc.date.available2014-05-27T11:25:53Z-
dc.date.available2016-10-25T18:33:57Z-
dc.date.issued2011-05-31-
dc.identifierhttp://dx.doi.org/10.1109/TDC-LA.2010.5762882-
dc.identifier.citation2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 196-203.-
dc.identifier.urihttp://hdl.handle.net/11449/72448-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/72448-
dc.description.abstractA method for spatial electric load forecasting using multi-agent systems, especially suited to simulate the local effect of special loads in distribution systems is presented. The method based on multi-agent systems uses two kinds of agents: reactive and proactive. The reactive agents represent each sub-zone in the service zone, characterizing each one with their corresponding load level, represented in a real number, and their relationships with other sub-zones represented in development probabilities. The proactive agent carry the new load expected to be allocated because of the new special load, this agent distribute the new load in a propagation pattern. The results are presented with maps of future expected load levels in the service zone. The method is tested with data from a mid-size city real distribution system, simulating the effect of a load with attraction and repulsion attributes. The method presents good results and performance. © 2011 IEEE.en
dc.format.extent196-203-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectagent-
dc.subjectdistribution planning-
dc.subjectknowledge extraction-
dc.subjectland use-
dc.subjectmulti-agent systems-
dc.subjectSpatial electric load forecasting-
dc.subjectDemand propagation-
dc.subjectDistribution systems-
dc.subjectExpected loads-
dc.subjectKnowledge extraction-
dc.subjectLoad levels-
dc.subjectLocal effects-
dc.subjectPropagation pattern-
dc.subjectReactive agent-
dc.subjectReal distribution-
dc.subjectReal number-
dc.subjectSpatial load forecasting-
dc.subjectElectric load distribution-
dc.subjectElectric loads-
dc.subjectForecasting-
dc.subjectIntelligent agents-
dc.subjectLocal area networks-
dc.subjectMulti agent systems-
dc.subjectElectric load forecasting-
dc.titleSpatial load forecasting using a demand propagation approachen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual do Oeste do Paraná (UNIOESTE)-
dc.description.affiliationUniversidade Estadual Paulista (UNESP), Ilha Solteira, SP-
dc.description.affiliationCECE-UNIOESTE, Foz de Iguaçu-PR-
dc.description.affiliationUnespUniversidade Estadual Paulista (UNESP), Ilha Solteira, SP-
dc.identifier.doi10.1109/TDC-LA.2010.5762882-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartof2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010-
dc.identifier.scopus2-s2.0-79957564714-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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