Title :
Application of artificial intelligence methods for definition of electric power losses
Author_Institution :
Open Joint Stock Co., Novosibirsk
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;
Conference_Titel :
Telecommunications Conference, 2005. INTELEC '05. Twenty-Seventh International
Conference_Location :
Berlin
Print_ISBN :
978-3-8007-2905-0
DOI :
10.1109/INTLEC.2005.335165
