Optimizing Hydropower Reservoirs Operation via an Orthogonal Progressive Optimality Algorithm-Reference-Cited by-同舟云学术

Optimizing Hydropower Reservoirs Operation via an Orthogonal Progressive Optimality Algorithm

Published:2018-03 Issue:3 Volume:144 Page:04018001
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Feng Zhong-kai¹,Niu Wen-jing²,Cheng Chun-tian³,Lund Jay R.⁴

Affiliation:

1. Lecturer, School of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan, Hubei 430074, China (corresponding author).

2. Bureau of Hydrology, Chang Jiang Water Resources Commission, Huangpu Rd. 1063, Wuhan 430010, China.

3. Professor, Dept. of Institute of Hydropower and Hydroinformatics, Dalian Univ. of Technology, Dalian 116024, China.

4. Professor, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, CA 95616.

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.1943-5452.0000882

Reference51 articles.

1. Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin

2. Optimization of Large-Scale Hydropower System Operations

3. On the Theory of Dynamic Programming

4. Applied Dynamic Programming

5. Solving nonlinear water management models using a combined genetic algorithm and linear programming approach

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