The estimation of electric power losses in electrical networks by fuzzy regression model using genetic algorithm
Resum
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.
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.
Revistes Catalanes amb Accés Obert (RACO)