While they require a large amount of data for machine learning, large-scale geomagnetic storms have not occurred sufficiently for the last 20 years, Advanced Composition Explorer (ACE) and Deep Space Climate Observatory (DSCOVR) mission operation period. ANN algorithms are widely used to predict space weather conditions. * Corresponding author: this paper, an operational Dst index prediction model is developed by combining empirical and Artificial Neural Network (ANN) models. National Meteorological Satellite Centre, KMA, 64-18, Guam-gil, Gwanghyewon-myeonl, Jincheon-gun, Chungcheongbuk-do 27803, Republic of Korea York University, 4700 Keele St., Toronto, ON M3J 1P3, Canada University of Science and Technology, 217, Gajeong-ro, Yuseong-gu, Daejeon 34113, Republic of KoreaĬhungbuk National University, 1 Chungdae-ro, Seowon-Gu, Cheongju, Chungbuk 28644, Republic of Korea Korea Astronomy and Space Science Institute, 776 Daedeok-daero, Yuseong-gu, Daejeon 34055, Republic of Korea Korea Meteorological Administration, 61 16-gil Yeouidaebang-ro, Dongjak-gu, Seoul 07062, Republic of KoreaĬhungnam National University, 99 Daehak-ro, Yuseong-gu, Daejeon 34134, Republic of Korea Wooyeon Park 1 ,2 ,3, Jaejin Lee 3 ,4 *, Kyung-Chan Kim 5, JongKil Lee 3 ,4, Keunchan Park 2, Yukinaga Miyashita 3 ,4, Jongdae Sohn 3, Jaeheung Park 3 ,4, Young-Sil Kwak 3 ,4, Junga Hwang 3 ,4, Alexander Frias 3 ,6, Jiyoung Kim 7 and Yu Yi 2
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