Colombian Energy Market: An approach of Anfis and Clustering Techniques to an Optimal Portfolio

Palacios, Alejandro; Giraldo, Marcela; Quintero, O. L.

info:eu-repo/semantics/workingPaper

Fecha

2014

Registro en:

http://hdl.handle.net/10784/4609

http://repositorioslatinoamericanos.uchile.cl/handle/2250/3515494

Autor

Palacios, Alejandro

Giraldo, Marcela

Quintero, O. L.

Institución

Universidad EAFIT (Colombia)

Resumen

This paper focuses on the study of a first approach to an optimal portfolio in the Colombian Energy Market using Artificial Intelligence. Specifically, ANFIS and Clustering techniques are applied. The methodology is implemented using the Matlab Toolboxes for clustering and FIS generation. Te results are presented, as well as the analysis of them. A first approximation to an optimal portfolio obtained with this methodology is shown. Consequently, some conclusions of the different techniques available for the same purpose are discussed. Finally the future work is proposed.

Materias

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