International Energy Agency (IEA), Net Zero by 2050: A Roadmap for the Global Energy Sector, IEA Publications, pp. 117~118, 2021.

J. Lee and F. Zhao, Global Wind Report 2024, Global Wind Energy Council (GWEC), pp. 18, 2024.

Ministry of Trade, Industry and Energy (MOTIE), The 10th Basic Plan of Long-Term Electricity Supply and Demand (2022~2036), pp. 51~88, 2023.

N. Mlilo, J. Brown and T. Ahfock, “Impact of intermittent renewable energy generation penetration on the power system networks - A review,” Technology and Economics of Smart Grids and Sustainable Energy, vol. 6, no. 1, pp. 25, 2021. DOI:10.1007/s40866-021-00123-w

Y. Lee, H. Kim, D. Lee, C. Lee and D. Lee, “Validation of Forecasting Performance of Two-Stage Probabilistic Solar Irradiation and Solar Power Forecasting Algorithm using XGBoost,” The transactions of The Korean Institute of Electrical Engineers, vol. 68, no. 12, pp. 1704-1710, 2019. DOI:10.5370/KIEE.2019.68.12.1704

S. H. Choi and J. Hur, “Optimized-XGBoost Learner Based Bagging Model for Photovoltaic Power Forecasting,” The transactions of The Korean Institute of Electrical Engineers, vol. 69, no. 7, pp. 978-984, 2020. DOI:10.5370/KIEE.2020.69.7.978

A. Alkesaiberi, F. Harrou and Y. Sun, “Efficient Wind Power Prediction Using Machine Learning Methods: A Comparative Study,” Energies, vol. 15, no. 7, pp. 2327, 2022. DOI:10.5370/KIEE.2020.69.7.978

A. Ahmadi, M. Nabipour, B. Mohammadi-Ivatloo, A. M. Amani, S. Rho and M. J. Piran, “Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms,” IEEE Access, vol. 8, pp. 151511-151522, 2020. DOI:10.1109/ACCESS.2020.3017442

J. Muñoz-Sabater, E. Dutra, A. Agustí-Panareda, C. Albergel, G. Arduini, G. Balsamo, S. Boussetta, M. Choulga, S. Harrigan, H. Hersbach, B. Martens, D. G. Miralles, M. Piles, N. J. Rodríguez-Fernández, E. Zsoter, C. Buontempo and J. -N. Thépaut, “ERA5-Land: A State-of-the-Art Global Reanalysis Dataset for Land Applications,” Earth System Science Data, vol. 13, no. 9, pp. 4349–4383, 2021. DOI:10.5194/essd-13-4349-2021

S. H. Hwang and D. H. Ham, “Evaluation of Spatial Downscaling Methods for Enhancement of Spatial Precipitation Estimation,” Journal of the Korean Society of Hazard Mitigation, vol. 13, no. 4, pp. 149-163, 2013. DOI:10.9798/KOSHAM.2013.13.4.149

Y. Choy, J. Baek, D. H. Jeon, S. H. Park, S. Choi, Y. Kim and J. Hur, “Development of Prediction Model for Renewable Energy Environmental Variables Based on Kriging Techniques,” KEPCO Journal on Electric Power and Energy, vol. 5, no. 3, pp. 223-228, 2019. DOI:10.18770/KEPCO.2019.05.03.223.

J. Oh, D. H. Ham, Y. Lee and G. Kim, “Short-term Load Forecasting Using XGBoost and the Analysis of Hyperparameters,” The transactions of The Korean Institute of Electrical Engineers, vol. 68, no. 9, pp. 1073-1078, 2019. DOI:10.5370/KIEE.2019.68.9.1073

S. K. Lee and S. J. Yoo, “Predicting Real Estate Fractional Investment Prices with the XGBOOST Model : Centered on the Kasa TE Logistics Center,” GRI REVIEW, vol. 26, no. 1, pp.1-22, 2024. DOI:10.23286/gri.2024.26.1.001