| contributor author | Tongtiegang Zhao | |
| contributor author | Ximing Cai | |
| contributor author | Xiaohui Lei | |
| contributor author | Hao Wang | |
| date accessioned | 2017-05-08T22:03:25Z | |
| date available | 2017-05-08T22:03:25Z | |
| date copyright | November 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29wr%2E1943-5452%2E0000249.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/70065 | |
| description abstract | Diminishing marginal utility is an important characteristic of water resources systems. With the assumption of diminishing marginal utility (i.e., concavity) of reservoir utility functions, this paper derives a monotonic relationship between reservoir storage and optimal release decision under both deterministic and stochastic conditions, and proposes an algorithm to improve the computational efficiency of both deterministic dynamic programming (DP) and stochastic dynamic programming (SDP) for reservoir operation with concave objective functions. The results from a real-world case study show that the improved DP and SDP exhibit higher computational efficiency than conventional DP and SDP. The computation complexity of the improved DP and SDP is | |
| publisher | American Society of Civil Engineers | |
| title | Improved Dynamic Programming for Reservoir Operation Optimization with a Concave Objective Function | |
| type | Journal Paper | |
| journal volume | 138 | |
| journal issue | 6 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)WR.1943-5452.0000205 | |
| tree | Journal of Water Resources Planning and Management:;2012:;Volume ( 138 ):;issue: 006 | |
| contenttype | Fulltext | |
