대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2003년도 추계학술대회 논문집 전력기술부문
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- Pages.438-440
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- 2003
시간축 및 요일축 정보의 조합을 이용한 신경회로망 기반의 평일 계통한계가격 예측
A SMP Forecasting Method Based on Artificial Neural Network Using Time and Day Information
- Lee, Jeong-Kyu (Konkuk University) ;
- Kim, Min-Soo (Konkuk University) ;
- Park, Jong-Bae (Konkuk University) ;
- Shin, Joong-Rin (Konkuk University)
- 발행 : 2003.11.13
초록
This paper resents an application of an Artificial Neural Network(ANN) technique to forecast the short-term system marginal price(SMP). The forecasting of SMP is a very important factor in an electricity market for the optimal biddings of market participants as well as for the market stabilization of regulatory bodies. The proposed neural network scheme is composed of three layers. In this process, input data are set up to reflect market conditions. And the
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