A predictive demand of the maximum electric power using chaos-fuzzy

Author

Lim, Young-Do ; Kim, Seung-Cheol ; Park, Jong-Oh ; Choo, Yeon-Gyu

Author_Institution

Dept. of Electron., Dong-A Univ., Pusan, South Korea

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1511

Lastpage

1514

Abstract

We propose a chaotic fuzzy controller to analyze the chaotic character of time series obtained from a specific plant and to predict the short-term for electric power demand of the plant using the fuzzy controller. We compare the predicted data with the active ones and check the error generated by them after we obtain time series of supplied electric power to the proposed controller. As a result of the simulation, we obtained the consequence that the proposed controller can be advanced through various and accurate data acquisition, and continuous analysis of the residential and industrial environment

Keywords

chaos; fuzzy control; load forecasting; time series; chaotic fuzzy controller; continuous analysis; data acquisition; electric power demand; industrial environment; maximum electric power; predictive demand; residential environment; short-term prediction; time series; Chaos; Continuous production; Data acquisition; Error correction; Fuzzy control; Industrial control; Nonlinear systems; Temperature; Time series analysis; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1008949

Filename

1008949