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An evaluation of some linear decision rules in chance‐Constrained models for reservoir planning and operation
Author(s) -
Loucks Daniel P.,
Dorfman Philp J.
Publication year - 1975
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/wr011i006p00777
Subject(s) - decision rule , volume (thermodynamics) , computer science , mathematical optimization , linear programming , optimal decision , operations research , data mining , mathematics , decision tree , artificial intelligence , physics , quantum mechanics
Several linear decision rules used in chance‐constrained models for estimating efficient reservoir capacities and operating policies are compared and evaluated. A chance‐constrained model that includes known or unknown reservoir release targets, or storage volume targets, permits this comparison, since regardless of the linear decision rule chosen, release or storage volume commitments can be made, and their maximum probabilities of failure estimated, well in advance of any period in which they apply. Optimization and simulation techniques are used to evaluate the performance of each decision rule.