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

Autor:	Hwan Il Kang, Woo-Seok Jang
Rok vydání:	2006
Předmět:	Electrical load Computer science business.industry Genetic algorithm Fuzzy control system Artificial intelligence Time series Prediction system business Algorithm Fuzzy logic Graphical user interface Term (time)
Zdroj:	Journal of Korean Institute of Intelligent Systems. 16:730-735
ISSN:	1976-9172
DOI:	10.5391/jkiis.2006.16.6.730
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5e408d340f30126e694d69779c03d286 https://doi.org/10.5391/jkiis.2006.16.6.730 Zobrazit plný text záznamu