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http://dx.doi.org/10.5391/JKIIS.2006.16.6.730

A Study on development of short term electric load prediction system with the genetic algorithm and the fuzzy system  

Kang, Hwan-Il (명지대학교 정보공학과)
Jang, Woo-Seok (명지대학교 정보공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.16, no.6, 2006 , pp. 730-735 More about this Journal
Abstract
This paper proposes a time series prediction method for the short term electrical load will) the fuzzy system and the genetic algorithm. At first, we obtain the optimal fuzzy membership function using the genetic algorithm. With the optimal fuzzy rules and its input differences, a better time prediction system may be obtained. We obtain good results for the time prediction of the short term electric load by the proposed algorithm. In addition we implement the graphic user interface for the proposed algorithms. Finally, we implement the regional prediction system for the electric load.
Keywords
genetic algorithm; time prediction; fuzzy system;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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