Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2009.07a
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- Pages.1112_1113
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- 2009
Estimation of wind turbine power generation using logic-based fuzzy neural networks
로직기반의 퍼지뉴럴 네트워크를 이용한 풍력발전기 출력예측
- Kang, Jong-Jin (Dong-Eui University) ;
- Yea, Song-Bum (Dong-Eui University) ;
- Cha, Jong-Hyun (Dong-Eui University) ;
- Kim, Yun-Gun (Dong-Eui University) ;
- Kang, Kyung-Ho (Dong-Eui University) ;
- Tak, Dong-Kyu (Dong-Eui University) ;
- Han, Chang-Wook (Dong-Eui University)
- Published : 2009.07.14
Abstract
This paper proposes the method to predict the wind turbine power generation using logic-based fuzzy neural networks. To predict the wind turbine power generation neural networks, logic-based fuzzy neural networks, and fuzzy neural models have been considered. But the model considered in this paper can predict the wind turbine power generation with a less complex structure. The simulation results show the effectiveness of the proposed method.
Keywords