Colombian Energy Market: Optimal Portfolio

dc.contributorUniversidad EAFIT. Escuela de Ciencias. Grupo de Investigación Modelado Matemático
dc.creatorPalacios, Alejandro
dc.creatorGiraldo, Marcela
dc.creatorQuintero, O. L.
dc.date.accessioned2014-12-12T15:41:27Z
dc.date.accessioned2022-09-23T21:27:08Z
dc.date.available2014-12-12T15:41:27Z
dc.date.available2022-09-23T21:27:08Z
dc.date.created2014-12-12T15:41:27Z
dc.date.issued2014
dc.identifierhttp://hdl.handle.net/10784/4610
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3529995
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.
dc.languageeng
dc.publisherUniversidad EAFIT
dc.publisherGrupo de Investigación Modelado Matemático
dc.publisherEscuela de Ciencias
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAcceso abierto
dc.titleColombian Energy Market: Optimal Portfolio
dc.typeinfo:eu-repo/semantics/workingPaper
dc.typeworkingPaper


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