How ICT can advance reservoir water level predictions using machine learning techniques
Taegon Kim1, Won-Ho Nam2, Eun-Mi Hong3, Timothy Smith4, Tae-Hyun Ha5, Jong-Won Do5, Sang-Il Lee5 and Kwang-Ya Lee5, (1)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, MN, United States, (2)Hankyong National University, School of Social Safety and Systems Engineering, Anseong, South Korea, (3)Kangwon National University, School of Natural Resources and Environmental Science, Chuncheon, South Korea, (4)Cooperative Institute for Research in Environmental Sciences, CU Boulder / PSL / NOAA, Boulder, CO, United States, (5)Agricultural Drought Mitigation Center, Korea Rural Community Corporation, Daejeon, South Korea
