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A Study on the Weekend Load Forecasting of Jeju System by using Temperature Changes Sensitivity
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 Title & Authors
A Study on the Weekend Load Forecasting of Jeju System by using Temperature Changes Sensitivity
Jeong, Hui-Won; Ku, Bon-Hui; Cha, Jun-Min;
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 Abstract
The temperature changes are very important in improving the accuracy of the load forecasting during the summer. It is because the cooling load in summer contribute to the increasing of the load. This paper proposes a weekend load forecasting algorithm using the temperature change characteristic in a summer of Jeju. The days before and after weekends in Jeju, when the load curves are quite different from those of normal weekdays. The temperature change characteristic are obtained by using weekends peak load and high temperature data. And load forecasted based on the sensitivity between unit temperature changes and load variations. Load forecast data with better accuracy are obtained by using the proposed temperature changes than by using the ordinary daily peak load forecasting. The method can be used to reduce the error rate of load forecast.
 Keywords
Load forecasting;Weekend load;Temperature changes;
 Language
Korean
 Cited by
 References
1.
Korea power Exchange, www.kpx.or.kr

2.
Jun-Min Cha, Kyong-Ha Yoon, Bon-Hui Ku, "Annual Yearly Load Forecasting by Using Seasonal Load Characteristics With Considering Weekly Normalization", Journal of the Korean Institute of Electrical Engineers Conference pp.17-18 2011. 7

3.
Hyun-Woo Jung, Si-Yeon Kim, Jong-Hun Lim, Kyung-Bin Song, Jeong-Do Park, Seung-Mook Baek, Geum-Jin Lee, Kyung-Hee Chon, "The trend of weekly load forecasting model", Journal of the Korean Institute of Electrical Engineers Conference pp. 496-497 2013. 7

4.
Korea electric Power Corporation, "The Monthly Report on Major Electric Power Statistics", 2014.12

5.
Sung-Ill Kong, Young-Sik Baek, Kyung-Bin Song, Ji-ho Park, "The Daily Peak Load Forecasting in Summer with the Sensitivity of Temperature", Trans. KIEE Vol. 53 No. 6 pp. 358-363, 2004. 6

6.
Kyung-Bin Song, Seong-Kwan Ha, "An Algorithm of Short-Term Load Forecasting", Trans. KIEE Vol. 53, No. 10 pp. 529-535, 2004.10

7.
Bon-hui Ku, Kyoung-Ha Yoon, Jun-Min Cha, Kyung-Bin Song, Kyung-Bin Song, Ung-Ki Baek, "A Study on the Summer Load Forecasting by using the Characteristics of Temperature Change", The Proceedings of Fall Conference of Power Engineering Society of Korean Institute of Electrical Engineers(KIEE), pp. 153-155, 2010.11

8.
Bon-hui Ku, Kyoung-Ha Yoon, Jun-Min Cha, "A Study on the Load Forecasting by using the Characteristics of Temperature in Jeju" The Proceedings of Fall Conference of Power Engineering Society of Korean Institute of Electrical Engineers(KIEE), pp. 250-252, 2011.10

9.
Kwang-Ho Kim, Jong-Keun Park, Kab-Ju Hwang, "A Hybrid Short-term Load Forecasting Model Using Artificial Neural Networks and Fuzzy Expert System", THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICALENGINEERS Vol .43 pp. 2002-2009, 1994.12