DocumentCode
2038898
Title
Application of artificial intelligence methods for definition of electric power losses
Author
Mogilenko, A.V.
Author_Institution
Open Joint Stock Co., Novosibirsk
fYear
2005
fDate
Sept. 2005
Firstpage
595
Lastpage
599
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
Keywords
artificial intelligence; fuzzy set theory; genetic algorithms; linear programming; losses; power system analysis computing; regression analysis; MATLAB; artificial intelligence methods; electric power losses; electrical networks; fuzzy regression model; genetic algorithms; linear programming; losses estimation; standard regression model; Artificial intelligence; Electric variables measurement; Fuzzy sets; Information analysis; Loss measurement; Mathematical model; Power measurement; Power system measurements; Power system modeling; Regression analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Conference, 2005. INTELEC '05. Twenty-Seventh International
Conference_Location
Berlin
Print_ISBN
978-3-8007-2905-0
Type
conf
DOI
10.1109/INTLEC.2005.335165
Filename
4134404
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