Optimizing operational policies of a Korean multireservoir system using sampling stochastic dynamic programming with ensemble streamflow prediction

Journal of Water Resources Planning and Management

Volumn 133, Issue 1, 2007, Pages 4-14

  Kim, Young Oh ^a   Eum, Hyung Il ^a   Lee, Eun Goo ^a   Ko, Ick Hwan ^b  

^a Seoul National University   (South Korea)

^b Korea Water Resources Corporation   (South Korea)

Author keywords

Forecasting; Korea; Optimization; Predictions; Reservoir operation; Streamflow

Indexed keywords

COMPUTER SIMULATION; DYNAMIC PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; STOCHASTIC PROGRAMMING; STREAM FLOW;

ENSEMBLE STREAMFLOW PREDICTION; RESERVOIR OPERATION; SAMPLING STOCHASTIC DYNAMIC PROGRAMMING;

RESERVOIRS (WATER);

COMPUTER SIMULATION; DYNAMIC PROGRAMMING; MATHEMATICAL MODELS; OPTIMIZATION; RESERVOIRS (WATER); STOCHASTIC PROGRAMMING; STREAM FLOW;

INFLOW; MULTIRESERVOIR SYSTEM; OPTIMIZATION; PREDICTION; RIVER FLOW; STREAMFLOW;

ASIA; EURASIA; FAR EAST; KOREA;

GEUM;

EID: 33845634009     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9496(2007)133:1(4)     Document Type: Article

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