Asian Journal of Information Technology

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The Evaluation of Electric Power Losses by Fuzzy Regression Model Using Genetic Algorithm

Mogilenko, A. V. and D. A. Pavlyuchenko
Page: 1039-1046 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

This paper presents the comparative study for fuzzy regression model using linear programming, fuzzy regression model using genetic algorithms and standard regression model. The fuzzy and standard models were developed for estimation of electric power losses in electrical networks. Simulation was carried out with a tool developed in MATLAB.

How to cite this article:

Mogilenko, A. V. and D. A. Pavlyuchenko . The Evaluation of Electric Power Losses by Fuzzy Regression Model Using Genetic Algorithm.
DOI: https://doi.org/10.36478/ajit.2004.1039.1046
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2004.1039.1046