Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/352769
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampLuna Huamaní, Ivette Raymundapt_BR
dc.contributor.authorunicampHidalgo, Ieda Geribertopt_BR
dc.contributor.authorunicampMartins Pedro, Paulo Sérgiopt_BR
dc.contributor.authorunicampBarbosa, Paulo Sergio Francopt_BR
dc.contributor.authorunicampFrancato, Alberto Luizpt_BR
dc.contributor.authorunicampCorreia, Paulo de Barrospt_BR
dc.typeArtigopt_BR
dc.titleFuzzy inference systems for multi-step ahead daily inflow forecastingpt_BR
dc.contributor.authorLuna, Ivettept_BR
dc.contributor.authorHidalgo, Ieda G.pt_BR
dc.contributor.authorPedro, Paulo S.M.pt_BR
dc.contributor.authorBarbosa, Paulo S.F.pt_BR
dc.contributor.authorFrancato, Alberto L.pt_BR
dc.contributor.authorCorreia, Paulo B.pt_BR
dc.subjectUsinas hidrelétricaspt_BR
dc.subjectHydroelectric power plantspt_BR
dc.description.abstractThis paper presents the evaluation of a daily inflow forecasting model using a tool that facilitates the analysis of mathematical models for hydroelectric plants. The model is based on a Fuzzy Inference System. An offline version of the Expectation Maximipt_BR
dc.relation.ispartofPesquisa operacionalpt_BR
dc.relation.ispartofabbreviationPesqui. oper.pt_BR
dc.publisher.cityRio de Janeiro, RJpt_BR
dc.publisher.countryBrasilpt_BR
dc.publisherSociedade Brasileira de Pesquisa Operacionalpt_BR
dc.date.issued2017pt_BR
dc.date.monthofcirculationjan./apr.pt_BR
dc.language.isoengpt_BR
dc.description.volume37pt_BR
dc.description.issuenumber1pt_BR
dc.description.firstpage129pt_BR
dc.description.lastpage144pt_BR
dc.rightsAbertopt_BR
dc.sourceSCIELOpt_BR
dc.identifier.issn0101-7438pt_BR
dc.identifier.eissn1678-5142pt_BR
dc.identifier.doi10.1590/0101-7438.2017.037.01.0129pt_BR
dc.identifier.urlhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382017000100129pt_BR
dc.description.sponsorshipFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsorship1FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOpt_BR
dc.description.sponsordocumentnumber2011/09178-1pt_BR
dc.date.available2020-11-19T19:43:26Z-
dc.date.accessioned2020-11-19T19:43:26Z-
dc.description.provenanceMade available in DSpace on 2020-11-19T19:43:26Z (GMT). No. of bitstreams: 1 S0101-74382017000100129.pdf: 965721 bytes, checksum: 17bc8f083615cf21e94566b462f444aa (MD5) Previous issue date: 2017en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/352769-
dc.contributor.departmentDepartamento de Teoria Econômicapt_BR
dc.contributor.departmentCoordenadoria de Graduação de Informáticapt_BR
dc.contributor.departmentCoordenadoria de Graduação TADS e BSIpt_BR
dc.contributor.departmentDepartamento de Recursos Hídricospt_BR
dc.contributor.departmentDepartamento de Recursos Hídricospt_BR
dc.contributor.departmentDepartamento de Energiapt_BR
dc.contributor.unidadeInstituto de Economiapt_BR
dc.contributor.unidadeFaculdade de Tecnologiapt_BR
dc.contributor.unidadeFaculdade de Tecnologiapt_BR
dc.contributor.unidadeFaculdade de Engenharia Civil, Arquitetura e Urbanismopt_BR
dc.contributor.unidadeFaculdade de Engenharia Civil, Arquitetura e Urbanismopt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.identifier.sourceS0101-74382017000100129pt_BR
dc.creator.orcid0000-0002-5304-5523pt_BR
dc.creator.orcid0000-0001-6347-7189pt_BR
dc.creator.orcid0000-0002-6303-5564pt_BR
dc.creator.orcid0000-0003-4287-0816pt_BR
dc.creator.orcid0000-0002-5815-8068pt_BR
dc.creator.orcidsem informaçãopt_BR
dc.type.formArtigo originalpt_BR
dc.description.sponsorNoteThis work was supported by FAPESP, Brazilian Agency dedicated to the development of science and technology (Process: 2011/09178-1); and by the AES Tietê company (Process: 37-P-17852-2010)pt_BR
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IE - Artigos e Outros Documentos
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