Improving the Robustness of Reservoir Operations with Stochastic Dynamic Programming-Reference-Cited by-同舟云学术

Improving the Robustness of Reservoir Operations with Stochastic Dynamic Programming

Published:2021-07 Issue:7 Volume:147 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Kim Gi Joo¹^ORCID,Kim Young-Oh²,Reed Patrick M.³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Seoul National Univ., 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea. ORCID: .

2. Professor, Dept. of Civil and Environmental Engineering, Seoul National Univ., 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea (corresponding author).

3. Joseph C. Ford Professor of Engineering, School of Civil and Environmental Engineering, Cornell Univ., Ithaca, NY 14853.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001381

Reference91 articles.

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2. Ben-Haim, Y. 2006. Info-gap decision theory: Decisions under severe uncertainty. Amsterdam, Netherlands: Elsevier.

3. The Shadow Price of Irrigation Water in Major Groundwater‐Depleting Countries

4. Partitioning the Impacts of Streamflow and Evaporation Uncertainty on the Operations of Multipurpose Reservoirs in Arid Regions

5. Dominance for multi-objective robust optimization concepts

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