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来源类型Article
规范类型其他
DOI10.1007/s10559-019-00112-z
Stochastic Optimization Models for Risk-Based Reservoir Management*.
Ermoliev Y; Ermolieva T; Kahil T; Gorbachuk V; Knopov P
发表日期2019
出处Cybernetics and Systems Analysis 55 (1): 55-64
出版年2019
语种英语
摘要The paper provides an overview of publications on reservoir management and formulates a novel stochastic dynamic optimization model for water balance management in the area affected. The proposed stochastic optimization approach allows multiple key performance indicators such as agriculture and energy production, wetland water and flood protection, biodiversity preservation, and reservoir storage. The two-stage feature of the proposed model induces safety constraints on water supply known as chance conditions in stochastic optimization: safety constraints in nuclear energy, stability constraints in insurance business, or constraints on the Conditional Value-at-Risk (CVaR) in finance. The original nonlinear, nonconvex and often discontinuous model can be reduced to linear programming problems.
主题Ecosystems Services and Management (ESM) ; Water (WAT)
关键词stochastic optimization risk water resource management two-stage problem extreme events
URLhttp://pure.iiasa.ac.at/id/eprint/15769/
来源智库International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/131699
推荐引用方式
GB/T 7714
Ermoliev Y,Ermolieva T,Kahil T,et al. Stochastic Optimization Models for Risk-Based Reservoir Management*.. 2019.
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