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  A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information
 
 
Title: A hybrid framework for forecasting monthly reservoir inflow based on machine learning techniques with dynamic climate forecasts, satellite-based data, and climate phenomenon information
Author: Tian, Di
He, Xiaogang
Srivastava, Puneet
Kalin, Latif
Appeared in: Stochastic environmental research and risk assessment
Paging: Volume 36 () nr. 8 pages 2353-2375
Year: 2021-04-22
Contents:
Publisher: Springer Berlin Heidelberg, Berlin/Heidelberg
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 21 found articles
 
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