Optimal trade-off of integrated river basin water resources allocation considering water market: A bi-level multi-objective model with conditional value-at-risk …

Y Tu, H Shi, X Zhou, B Lev - Computers & Industrial Engineering, 2022 - Elsevier
The predictable water shortage crisis is intensifying due to frequent extreme weather caused
by climate change and human activities. Motivated by urgent practical needs of more …

Robust multiobjective reservoir operation and risk decision-making model for real-time flood control coping with forecast uncertainty

X Huang, B Xu, P Zhong, H Yao, H Yue, F Zhu, Q Lu… - Journal of …, 2022 - Elsevier
Forecast uncertainty in real-time flood forecasting is the primary source of risk regarding
reservoir flood control operation, affecting both reliability and safety of the entire system …

Stochastic optimization model for determining support system parameters of a subway station

E Mohammadi, M Jahanandish, A Ghahramani… - Expert Systems with …, 2022 - Elsevier
The process of designing the support system of a subway station using a concrete arch pre-
supporting system (CAPS) construction method includes an estimation of design variables …

Scenario‐based multiobjective robust optimization and decision‐making framework for optimal operation of a cascade hydropower system under multiple …

B Xu, Y Sun, X Huang, P Zhong, F Zhu… - Water Resources …, 2022 - Wiley Online Library
Forecast errors of multiple information sources of a cascade hydropower system cause risks
of water and energy supply in real‐time operation. Mechanisms minimizing multiple risks …

A risk-based multi-objective model for optimal placement of sensors in water distribution system

SS Naserizade, MR Nikoo, H Montaseri - Journal of hydrology, 2018 - Elsevier
In this study, a new stochastic model based on Conditional Value at Risk (CVaR) and multi-
objective optimization methods is developed for optimal placement of sensors in water …

Assessing adaptive irrigation impacts on water scarcity in nonstationary environments—a multi‐agent reinforcement learning approach

F Hung, YCE Yang - Water Resources Research, 2021 - Wiley Online Library
One major challenge in water resource management is to balance the uncertain and
nonstationary water demands and supplies caused by the changing anthropogenic and …

[HTML][HTML] Multiobjective stochastic programming with recourses for real-time flood water conservation of a multireservoir system under uncertain forecasts

B Xu, P Zhong, Q Lu, F Zhu, X Huang, Y Ma, J Fu - Journal of Hydrology, 2020 - Elsevier
Flood water conservation realized through real-time multireservoir operations is effective in
mitigating water scarcity. Owing to the influence of real-time inflow forecast uncertainty …

[PDF][PDF] An integrated risk analysis method for planning water resource systems to support sustainable development of an arid region

YP Li, S Nie, CZ Huang, EA McBean, YR Fan… - 2017 - bura.brunel.ac.uk
An interval-based two-stage risk analysis (ITRA) method is developed for planning water
resource systems associated with uncertainties presented in terms of probability …

Decomposition algorithms for risk-averse multistage stochastic programs with application to water allocation under uncertainty

W Zhang, H Rahimian… - INFORMS Journal on …, 2016 - pubsonline.informs.org
We study a risk-averse approach to multistage stochastic linear programming, where the
conditional value-at-risk is incorporated into the objective function as the risk measure. We …

Operating rules derivation of jinsha reservoirs system with parameter calibrated support vector regression

C Ji, T Zhou, H Huang - Water resources management, 2014 - Springer
The reservoir optimal operation depends on not only specific characteristics of reservoirs
and hydropower stations but also stochastic inflows. The key issue of actual hydropower …