Forecasting analysis on daily gas supply for power generation by SARIMA-GARCH models†
Journal of the Korean Data & Information Science Society 2025;36:41-57
© 2025 Korean Data and Information Science Society.
Siyeong Kim1 · Eunju Hwang2
12Department of Applied Statistics, Gachon University
Correspondence to: † This work was supported by National Research Foundation of Korea (NRF-2023R1A2C1005395).
1 Undergraduate student, Department of Applied Statistics, Gachon University, Gyeonggi-do 13120, Korea.
2 Corresponding author: Professor, Department of Applied Statistics, Gachon University, Gyeonggi-do 13120, Korea. E-mail:
ehwang@gachon.ac.kr Received September 20, 2024; Revised November 6, 2024; Accepted November 6, 2024.
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