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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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2023-09
(Vol.72 No.09)
10.5370/KIEE.2023.72.9.967
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References
1
2021, The Republic of Korea’s Update of its First Nationality Determined Contribution, South Korea
2
H. Y. Shin, J. B. Park, 2021, Analysis of Global RE100 Operation Status and Suggestions for Expanding RE100 in South Korea, The Transaction of the Korean Institute of Electric Engineers, Vol. 70, No. 11, pp. 1645-1654
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C. Y. Lee, 2015, Basic Research Report 2015-12 Korea Energy Economics Institute, Development and operation of price prediction methodology for REC Price of Renewal Energy
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S. Y. Kim, S. Y. Park, 2020, Long-Trem Estimation for REC Price, TLG on 1(6) The Lantau Group
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F.H. Jufri, S. M. Oh, J. S. Jung, 2019, Day-ahead system marginal price forecasting using artificial neural network and similar-days information, Journal of Electrical Engineering & Technology, Vol. 14, pp. 561-568
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B. Oh, D. -H. Lee, D. Lee, 2022, Oil-Price Based Long- Term Hourly System Marginal Electricity Price Scenario Generation, in IEEE Access, Vol. 10, pp. 25051-25061
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M. G. Koo, 2013, South Korea’s Feed-in Tariff Program and Its Implications for New Industrial Policy: Policy Design, Implementation, and Learning, Vol. 22, No. 1, pp. 1-27
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MOTIE, 2023, Act On The Promotion Of The Development, Use And Diffusion Of New And Renewable Energy
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KPX, 2022, Electricity Market Statistics
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D. H .Kim, H. J. Jo, M. S. Kim, J. H. Roh, J. B. Park, 2019, Short-Term Load Forecasting Based on Deep Learning Model, The transactions of The Korean Institute of Electrical Engineers, Vol. 68, No. 9, pp. 1094-1099
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S. W. Shim, D. H. Lee, J. H. Roh, J. B. Park, 2023, A Machine Learning-Based Algorithm for Short-Term SMP Forecasting Using 2-Step Method, Journal of Electrical Engineering & Technology, Vol. 18, No. 3, pp. 1493-1501