대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2004년도 하계학술대회 논문집 A
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- Pages.722-724
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- 2004
데이터 마이닝을 이용한 양방향 전력거래상의 단기수요예측기법
Short-term demand forecasting method at both direction power exchange which uses a data mining
- Kim Hyoung Joong (Osan Energy Co. Ltd) ;
- Lee Jong Soo (Sungkyunkwan University) ;
- Shin Myong Chul (Sungkyunkwan University) ;
- Choi Sang Yeoul (Induk Institute of Technology)
- 발행 : 2004.07.14
초록
Demand estimates in electric power systems have traditionally consisted of time-series analyses over long time periods. The resulting database consisted of huge amounts of data that were then analyzed to create the various coefficients used to forecast power demand. In this research, we take advantage of universally used analysis techniques analysis, but we also use easily available data-mining techniques to analyze patterns of days and special days(holidays, etc.). We then present a new method for estimating and forecasting power flow using decision tree analysis. And because analyzing the relationship between the estimate and power system ceiling Trices currently set by the Korea Power Exchange. We included power system ceiling prices in our estimate coefficients and estimate method.
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