Ministry of Trade, industry and Energy, “Springtime’s minimum electricity demand expected to renew, thorough response to increasing volatility,” 2024.

Ministry of Trade, industry and Energy, “Promoting preemptive measures to manage stable power supply and demand in Spring,” 2023.

Ministry of Trade, industry and Energy, “Establishment of measures to stabilize the power system in the Fall,” 2023.

Korea Power Exchange, “A Study on Short-term Load Forecasting Technique and its Application,” 2011.

Ministry of Trade, Industry and Energy, “The 10th basic plan for long-term electricity supply and demand,” 2023.

S. W. Jo, et al., “Sensitivity analysis of temperature on special day electricity demand in Jeju Island,” The Trans. of KIEE, vol. 67, no. 8, pp. 1019-1023, 2018.

Korea Power Exchange, “Annual electricity load forecasting with the volatility of photovoltaic power generation,” 2023.

S. S. Shapiro, “An analysis of variance test for normality,” Biometrika, vol. 52, no. 3, pp. 591-611, 1965.

F. Wilcoxon, “Individual comparisons by ranking methods,” Biometrics Bulletin, vol. 1, no. 6, pp. 80-83, 1945.

B. S. Kwon, C. H. Moon, and K. B. Song, “Short-term load forecasting algorithm for lunar new year’s holidays using the relative coefficient method,” Journal of KIIEE, vol. 36, no. 6, pp. 9-17, 2022.

B. S. Kwon and K. B. Song, “Mid-term load forecasting algorithm for large-scale power systems based on deep learning considering the impact of behind-the-meter solar PV generation,” Journal of Electrical Engineering & Technology, 2024.