Colombian Energy Market: Optimal Portfolio

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dc.contributor.authorPalacios, Alejandrospa
dc.contributor.authorGiraldo, Marcelaspa
dc.contributor.authorQuintero, O. L.spa
dc.contributor.departmentUniversidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado Matemáticospa
dc.date.accessioned2014-12-12T15:41:27Z
dc.date.available2014-12-12T15:41:27Z
dc.date.issued2014
dc.description.abstractThis paper focuses on the study of an optimal portfolio in the Colombian Energy Market using the Artificial Intelligence techniques specifically, Fuzzy Modeling and Neural Networks. The methodology at first, is implemented using the Matlab Fuzzy Logic Toolbox and with the help of a script the process is automatized. Secondly, a Neural Network is implemented in Matlab and its results are compared with the ones obtained in the Matlab Neural Network Toolbox. The results of the Fuzzy model and the Neural Network are presented and conclusions of both techniques are discussed. Finally possible future work are proposed.eng
dc.identifier.urihttp://hdl.handle.net/10784/4610
dc.language.isoengeng
dc.publisherUniversidad EAFITspa
dc.publisher.departmentEscuela de Cienciasspa
dc.publisher.programGrupo de Investigación Modelado Matemáticospa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.localAcceso abiertospa
dc.subject.keywordEnergy Marketseng
dc.subject.keywordArtificial Intelligenceeng
dc.subject.keywordFuzzy Modelingeng
dc.subject.keywordNeural Networkseng
dc.titleColombian Energy Market: Optimal Portfolioeng
dc.typeinfo:eu-repo/semantics/workingPaper
dc.type.hasVersiondrafteng
dc.type.localDocumento de trabajo de investigaciónspa

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