Result: The estimation of electric power losses in electrical networks by fuzzy regression model using genetic algorithm

Title:
The estimation of electric power losses in electrical networks by fuzzy regression model using genetic algorithm
Authors:
Mogilenko, A V, Pavlyuchenko, D A
Source:
Mathware & soft computing; 2004: Vol.: 11 Núm.: 1
Publication Status:
published
Publisher Information:
Mathware & soft computing, 2004.
Publication Year:
2004
Document Type:
Academic journal article
File Description:
text/html
Language:
Catalan; Valencian
ISSN:
1989-533X
1134-5632
Relation:
https://www.raco.cat/index.php/Mathware/article/view/84900/109897
Access URL:
https://www.raco.cat/index.php/Mathware/article/view/84900
Accession Number:
edsrac.84900
Database:
RACO (Revistes Catalanes amb Accés Obert)

Further Information

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.