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The Transactions of the Korean Institute of Electrical Engineers

The Transactions of the Korean Institute of Electrical Engineers

ISO Journal TitleTrans. Korean. Inst. Elect. Eng.
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  3. 2023-08 (Vol.72 No.08)
  4. 10.5370/KIEE.2023.72.8.904
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References

1 
M. A. Delucchi, M. Z. Jacobson, 2011, Providing All Global Energy with Wind, Water, and Solar Power, part ii: Reliability, System and Transmission Costs, and Policies, Energy policy, Vol. 39, No. 3, pp. 1170-1190DOI
2 
Hyesook Son, Seokyeon Kim, Yun Jang, 2020, LSTM-based 24-Hour Solar Power Forecasting Model using Weather Forecast Data, KIISE Transactions on Computing Practices, Vol. 26, No. 10, pp. 435-441DOI
3 
Jae-Young Oh, Yong-Geon Lee, Gibak Kim, 2020, Improvement of Solar Power Forecasting Using Interpretation of Artificial Intelligence, the Transactions of the Korean Institute of Electrical Engineers, pp. 1111-1116DOI
4 
Hanho Kim, Haesung Tak, Hwan-gue Cho, Jun 2019, Design of Photovoltaic Power Generation Prediction Model with Recurrent Neural Network, Journal of KIISE, Vol. 46, No. 6, pp. 506-514DOI
5 
Minseok Kim, Seunghwan Jung, Jonggeun Kim, Hansoo Lee, Sungshin Kim, 2021, A Study on Solar Radiation Forecasting Based on Long Short-term Memory Considering Hourly Weather Changes, Journal of Korean Institute of Intelligent Systems, pp. 88-94DOI
6 
Ogeuk Kwon, Soohyun Choi, Hyunsik Jo, Hanju Cha, 2022, The Prediction of a Floating Photovoltaic Generation Utilizing RNN, the Transactions of the Korean Institute of Electrical Engineers, Vol. 71, No. 8, pp. 1126-1134DOI
7 
Kwangsoon Kim, Feb 2019, Optimum Design of ESS Capacity Converged with Floating Photovoltaic Power Generation, PhD thesis, pp. 71DOI
8 
Baekcheon Kim, Seunghwan Jung, Feb 2020, Solar Power Generation Forecasting Based on LSTM Considering Weather Conditions, Journal of Korean Institute of Intelligent Systems, Vol. 30, No. 1, pp. 7-12DOI
9 
Korea Power Exchange, Dec. 2021., Power Market Operating Regulation, Article 12-2 of Chapter 14DOI
10 
Hangsang Jung, Feb 2021, Power Generation Prediction Model Considering Environmental Characteristics of the Floating Photovoltaic System, PhD thesis, pp. 86-92DOI
11 
Young-seung Lee, Feb 2022, Long and Short Term Prediction of Rebar Price Using Deep learning and Related Techniques, PhD thesis, pp.79DOI
12 
Yoojin Park, Joonwoong Na, Hyejoo Kim, 2021, Dynamic Response Improvement of Boost Converter with Neural Network, Proceedings of the KIPE Conference, pp 8DOI
13 
Young-seung Lee, Feb 2022, Long and Short Term Prediction of Rebar Price Using Deep Learning and Related Techniques, PhD thesis, pp. 79DOI