대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2004년도 하계학술대회 논문집 A
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- Pages.698-700
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- 2004
역전파 신경회로망 기반의 단기시장가격 예측
Locational Marginal Price Forecasting Using Artificial Neural Network
- Song Byoung Sun (Konkuk University) ;
- Lee Jeong Kyu (Konkuk University) ;
- Park Jong Bae (Konkuk University) ;
- Shin Joong Rin (Konkuk University)
- 발행 : 2004.07.14
초록
Electric power restructuring offers a major change to the vertically integrated utility monopoly. Deregulation has had a great impact on the electric power industry in various countries. Bidding competition is one of the main transaction approaches after deregulation. The energy trading levels between market participants is largely dependent on the short-term price forecasts. This paper presents the short-term System Marginal Price (SMP) forecasting implementation using backpropagation Neural Network in competitive electricity market. Demand and SMP that supplied from Korea Power Exchange (KPX) are used by a input data and then predict SMP. It needs to analysis the input data for accurate prediction.
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