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Multireservoir Operation Studies
Author(s) -
Roefs Theodore G.,
Bodin Lawrence D.
Publication year - 1970
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr006i002p00410
Subject(s) - multivariate statistics , mathematical optimization , scope (computer science) , decomposition , process (computing) , optimization problem , sequence (biology) , nonlinear system , computer science , stochastic optimization , streamflow , flow (mathematics) , mathematics , statistics , chemistry , drainage basin , physics , cartography , geometry , quantum mechanics , programming language , geography , operating system , biochemistry , organic chemistry
An implicit stochastic process is compared to possible alternative analytical processes. An implicit stochastic process refers to a sequence of steps consisting of streamflow synthesis, deterministic optimization, and multivariate analysis of deterministic optimization results. The comparison is incomplete in that the performance of the multivariate analysis of results is not within the scope of this paper. Some formulations based on the method of Dantzig‐Wolfe decomposition are shown to be reasonably accurate representations of a nonlinear multireservoir deterministic optimization problem. One of these methods is shown to consume only moderate amounts of computer time for a problem of distinctly nontrivial size. The research issues yet to be resolved in achieving the overall objective (i.e., a multireservoir operation rule for flow regulation and energy production) are identified.