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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/66342
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dc.contributor.authorLopes, Mara Lúcia M.-
dc.contributor.authorMinussi, Carlos R.-
dc.contributor.authorLotufo, Anna Diva P.-
dc.date.accessioned2014-05-27T11:19:59Z-
dc.date.accessioned2016-10-25T18:16:42Z-
dc.date.available2014-05-27T11:19:59Z-
dc.date.available2016-10-25T18:16:42Z-
dc.date.issued2000-12-01-
dc.identifierhttp://dx.doi.org/10.1109/MWSCAS.2000.952840-
dc.identifier.citationMidwest Symposium on Circuits and Systems, v. 2, p. 646-649.-
dc.identifier.urihttp://hdl.handle.net/11449/66342-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/66342-
dc.description.abstractThe objective of this work is the development of a methodology for electric load forecasting based on a neural network. Here, it is used Backpropagation algorithm with an adaptive process based on fuzzy logic. This methodology results in fast training, when compared to the conventional formulation of Backpropagation algorithm. Results are presented using data from a Brazilian Electric Company and the performance is very good for the proposal objective.en
dc.format.extent646-649-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectBackpropagation-
dc.subjectFuzzy control-
dc.subjectFuzzy sets-
dc.subjectGradient methods-
dc.subjectKalman filtering-
dc.subjectNeural networks-
dc.subjectRegression analysis-
dc.subjectBinary systems-
dc.subjectLinear regression-
dc.subjectElectric load forecasting-
dc.titleA fast electric load forecasting using neural networksen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniversidade Estadual Paulista-UNESP Departamento de Engenharia Eletrica, Campus de Ilha Solteira, Ilha Solteira - SP-
dc.description.affiliationUnespUniversidade Estadual Paulista-UNESP Departamento de Engenharia Eletrica, Campus de Ilha Solteira, Ilha Solteira - SP-
dc.identifier.doi10.1109/MWSCAS.2000.952840-
dc.identifier.wosWOS:000172099300150-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofMidwest Symposium on Circuits and Systems-
dc.identifier.scopus2-s2.0-0034463498-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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