A two stage B ayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts-Reference-Cited by-同舟云学术

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

Published:2014-12 Issue:12 Volume:50 Page:9267-9286
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Xu Wei¹²,Zhang Chi¹,Peng Yong¹,Fu Guangtao³,Zhou Huicheng¹

Affiliation:

1. School of Hydraulic Engineering, Dalian University of TechnologyDalian China

2. College of River and Ocean Engineering, Chongqing Jiaotong UniversityChongqing China

3. Centre for Water Systems, College of Engineering, Mathematics, and Physical Sciences, University of ExeterExeter UK

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2013WR015181

Reference57 articles.

1. An aggregate stochastic dynamic programming model of multireservoir systems

2. Modeling the operation of multireservoir systems using decomposition and stochastic dynamic programming

3. Coupling meteorological and hydrological models for flood forecasting

4. Incorporating Forecasts of Rainfall in Two Hydrologic Models Used for Medium-Range Streamflow Forecasting

5. Intelligent control for modeling of real-time reservoir operation, part II: artificial neural network with operating rule curves

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