Dam inflow prediction using large-scale climate variability and deep learning approach: a case study in South Korea
Author:
Affiliation:
1. a Department of Civil Engineering, Chosun University, Gwangju, South Korea
2. b Institute of Water Resource System, Inha University, Incheon, South Korea
3. c Department of Civil Engineering, Inha University, Incheon, South Korea
Abstract
Funder
National Institute for International Education
Publisher
IWA Publishing
Subject
Water Science and Technology
Link
https://iwaponline.com/ws/article-pdf/23/2/934/1260430/ws023020934.pdf
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4. Monthly inflow forecasting of Soyang River dam using VARMA and machine learning models;Journal of Climate Research,2019
5. Classification, seasonality and persistence of low-frequency atmospheric circulation patterns;Monthly Weather Review,1987
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