대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1997년도 하계학술대회 논문집 D
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- Pages.914-916
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- 1997
전력부하 유형에 따른 신경회로망 단기부하예측에 관한 연구
Short-term Load Forecasting Using Neural Networks By Electrical Load Pattern
- Park, H.S. (Department of Electrical Engineering, Pusan National University) ;
- Lee, S.S. (Department of Electrical Engineering, Pusan National University) ;
- Kim, H.S. (Department of Electrical Engineering, Pusan National University) ;
- Mun, K.J. (Department of Electrical Engineering, Pusan National University) ;
- Park, J.H. (Department of Electrical Engineering, Pusan National University)
- 발행 : 1997.07.21
초록
This paper presents the development of an Artificial Neural Networks(ANN) for Short-Term Load Forecasting(STLF). First, used historical load data is divided into 5 patterns for the each seasonal data using Kohonen networks. Second, classified data is used as inputs of Back-propagation networks for next day hourly load forecasting. The proposed method was tested with KEPCO hourly record (1994-95) and we obtained desirable results.
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