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The Transactions of
the Korean Institute of Electrical Engineers
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ISSN : 1975-8359 (Print)
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The Transactions of the Korean Institute of Electrical Engineers
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Trans. Korean. Inst. Elect. Eng.
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2019-12
(Vol.68 No.12)
10.5370/KIEE.2019.68.12.1523
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References
1
Y.-K. Ban, C.-H. Lee, 2017, Electric Load Forecasting using Data Preprocessing and Fuzzy Logic System, The Transactions of The Korean Institute of Electrical Engineers, Vol. 66, No. 12, pp. 1751-1758
2
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3
B.-S., Ku, Y.-S. Baek, K.-B. Song, D.-H. Hong, 2001, Load forecasting for the holidays on Saturday or Monday using a fuzzy linear regression and a rotative coefficient algorithm, in Proceedings of the KIEE Conference, the korean institute of electrical engineers (c), pp. 52-54
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Dae-Hoon Ahn., 2005, Daily Load Forecasting Including Special Days Using Hourly Relative Factors, Journal of the Korean Institute of Illuminating and Electrical Installation Engineers, Vol. 19, No. 5, pp. 94-102
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Cherl-Hyun, Kim, 2013, Study on within-week and within-day seasonal patterns of electricity demand in Korea, Korea Energy Economics Institute Research papers, Vol. 13, No. 03, pp. 1-73
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Hesham-K, Alfares, Mohammad, Nazeeruddin, 2002, Electric load forecasting: literature survey and classification of methods, International journal of systems science, Vol. 33, No. 1, pp. 23-34
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Byeong-Chan Oh, Sung-Yul Kim, 2019, Development of SVR based Short-term Load Forecasting Algorithm, THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS P, Vol. 68, No. 2, pp. 95-99