The estimation of electric power losses in electrical networks by fuzzy regression model using genetic algorithm.
Mogilenko, A. V. ; Pavlyuchenko, D. A.
Mathware and Soft Computing, Tome 11 (2004), p. 13-30 / Harvested from Biblioteca Digital de Matemáticas
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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.

Publié le : 2004-01-01
DMLE-ID : 2008 
@article{urn:eudml:doc:39272,
     title = {The estimation of electric power losses in electrical networks by fuzzy regression model using genetic algorithm.},
     journal = {Mathware and Soft Computing},
     volume = {11},
     year = {2004},
     pages = {13-30},
     zbl = {1088.68824},
     language = {en},
     url = {http://dml.mathdoc.fr/item/urn:eudml:doc:39272}
}

Mogilenko, A. V.; Pavlyuchenko, D. A. The estimation of electric power losses in electrical networks by fuzzy regression model using genetic algorithm.. Mathware and Soft Computing, Tome 11 (2004) pp. 13-30. http://gdmltest.u-ga.fr/item/urn:eudml:doc:39272/