A two stage bayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts

Water Resources Research

Volumn 50, Issue 12, 2014, Pages 9267-9286

  Xu, Wei ^a,b   Zhang, Chi ^a   Peng, Yong ^a   Fu, Guangtao ^c   Zhou, Huicheng ^a  

^a DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^b CHONGQING JIAOTONG UNIVERSITY   (China)

^c UNIVERSITY OF EXETER   (United Kingdom)

Author keywords

Bayesian approach; hydropower; quantitative precipitation forecast; stochastic dynamic programming; uncertainty modeling

Indexed keywords

BAYESIAN NETWORKS; DECISION MAKING; DYNAMIC PROGRAMMING; FORECASTING; HYDROELECTRIC POWER; OPTIMIZATION; REAL TIME SYSTEMS; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

BAYESIAN APPROACHES; HYDROPOWER; QUANTITATIVE PRECIPITATION FORECAST; STOCHASTIC DYNAMIC PROGRAMMING; UNCERTAINTY MODELING;

STOCHASTIC MODELS;

DECISION MAKING; FORECASTING METHOD; HYDROELECTRIC POWER; NUMERICAL MODEL; OPTIMIZATION; PRECIPITATION (CLIMATOLOGY); STOCHASTICITY; UNCERTAINTY ANALYSIS;

CHINA; HUN RIVER;

EID: 85027953801     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2013WR015181     Document Type: Article

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