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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/66664
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dc.contributor.authorMelvin Ayala, S.-
dc.contributor.authorGaldenoro Botura, J.-
dc.contributor.authorOscar Maldonado, A.-
dc.date.accessioned2014-05-27T11:20:20Z-
dc.date.accessioned2016-10-25T18:17:20Z-
dc.date.available2014-05-27T11:20:20Z-
dc.date.available2016-10-25T18:17:20Z-
dc.date.issued2001-12-01-
dc.identifierhttp://dx.doi.org/10.1109/45.983333-
dc.identifier.citationIEEE Potentials, v. 20, n. 5, p. 13-18, 2001.-
dc.identifier.issn0278-6648-
dc.identifier.urihttp://hdl.handle.net/11449/66664-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/66664-
dc.format.extent13-18-
dc.language.isoeng-
dc.sourceScopus-
dc.titleAn AI tool for supervising substationsen
dc.typeoutro-
dc.contributor.institutionElectric Test and Research Center-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationElectric Test and Research Center, Havana-
dc.description.affiliationUniversity of the Whole State of Sao Paulo (Unesp) Guaratinguet- Campus, Sao Paulo-
dc.description.affiliationUnespUniversity of the Whole State of Sao Paulo (Unesp) Guaratinguet- Campus, Sao Paulo-
dc.identifier.doi10.1109/45.983333-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofIEEE Potentials-
dc.identifier.scopus2-s2.0-33745089351-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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