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Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm

Crossref DOI link: https://doi.org/10.1016/j.jhydrol.2018.08.050

Published Print: 2018-10

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Zhang, Di

Lin, Junqiang https://orcid.org/0000-0003-0237-2361
Peng, Qidong

Wang, Dongsheng

Yang, Tiantian

Sorooshian, Soroosh

Liu, Xuefei

Zhuang, Jiangbo
Funding

Funding for this research was provided by:

U.S. Department of Energy (DE-IA0000018)

China Three Gorges University (0799564)

California Energy Commission

U.S. Department of Energy

National Basic Research Program of China (2016YFE0102400)

China Institute of Water Resources and Hydropower Research (SD0145B162017)

California Energy Commission (300-15-005)
License Information

Text and Data Mining valid from 2018-10-01

Text and Data Mining valid from 2018-10-01

Accepted Manuscript valid from 2019-09-07
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This article is maintained by: Elsevier

Article Title: Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm

Journal Title: Journal of Hydrology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.jhydrol.2018.08.050

Content Type: article

Copyright: © 2018 Elsevier B.V. All rights reserved.