Title :
A Development of the Short Term Electrical Load Prediction System Based on the Fuzzy System and the Evolutionary Algorithm
Author :
Kang, Hwan, II ; Jang, Woo Seok ; Lee, Seong Mok ; Lee, Hyun Min
Author_Institution :
Dept. of Inf. Eng., Myongji Univ., Seoul
Abstract :
This paper proposes a time series prediction method for the nonlinear system using the fuzzy system and the genetic algorithm. At first, we obtain the optimal fuzzy membership function using the genetic algorithm and the evolutionary strategy. With the optimal fuzzy rules and the input differences, a better time prediction series system may be obtained. We obtain a good result for the time prediction of the electrical load. In addition, we implement the graphic user interface for the proposed algorithm
Keywords :
fuzzy control; fuzzy systems; genetic algorithms; graphical user interfaces; load forecasting; nonlinear control systems; power system control; time series; evolutionary algorithm; fuzzy system; genetic algorithm; graphic user interface; nonlinear system; optimal fuzzy membership function; optimal fuzzy rules; short term electrical load prediction system; time series prediction method; Chaos; Evolutionary computation; Fuzzy systems; Genetic algorithms; Genetic engineering; Genetic mutations; Graphics; Nonlinear systems; Prediction methods; Shape; genetic algorithm; optimal fuzzy membership function;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315828
