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http://dx.doi.org/10.5207/JIEIE.2003.17.6.054

The System Marginal Price Forecasting in the Power Market Using a Fuzzy Regression Method  

송경빈 (숭실대 전기제어시스템공학부)
Publication Information
Journal of the Korean Institute of Illuminating and Electrical Installation Engineers / v.17, no.6, 2003 , pp. 54-59 More about this Journal
Abstract
This paper presents hourly system marginal price forecasting of the Korea electric power system using a fuzzy linear regression analysis method. The proposed method is tested by forecasting hourly system marginal price for a week of spring in 2002. The percent average of forecasting error for the proposed method is from 3.14% to 6.10% in the weekdays, from 7.04% to 8.22% in the weekends, and comparable with a artificial neural networks method.
Keywords
system marginal price forecasting; fuzzy linear regression;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 D. H. Hong, “Fuzzy linear regression analysis for fuzzy input-output data using shape-preserving operations”, Fuzzy Sets and Systems, Vol. 122, No. 3, pp. 513-526, 2001.   DOI   ScienceOn
2 Jeong-Kyu Lee, Min-Soo Kim, Jong-Bae Park, and Joong-Rin Shin, “SMP forecasting using artificial neural networks”, Proceedings of the KIEE Summer Annual Conference 2002, Vol. A, pp. 389-391, July 2002.   과학기술학회마을
3 Kyung-Bin Song, Bon-Suk Ku, Young-Sik Baek, “An improved algorithm of the daily peak load forecasting for the holidays”, KIEE Transactions on PE, Vol. 51, No. 3, pp. 109-117, March 2002.   과학기술학회마을