A state‐of‐the‐art review of optimal reservoir control for managing conflicting demands in a changing world

M Giuliani, JR Lamontagne, PM Reed… - Water Resources …, 2021 - Wiley Online Library
The state of the art for optimal water reservoir operations is rapidly evolving, driven by
emerging societal challenges. Changing values for balancing environmental resources …

Assessment of climate change impacts on the hydro-wind-solar energy supply system

Y Zhang, C Cheng, T Yang, X Jin, Z Jia, J Shen… - … and Sustainable Energy …, 2022 - Elsevier
Renewable energies such as hydro, wind, and solar power, are susceptible to the impacts of
climate change. Energy Impact Assessment models under climate change are useful tools …

Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization

Z Feng, W Niu, Z Tang, Z Jiang, Y Xu, Y Liu… - Journal of Hydrology, 2020 - Elsevier
Accurate monthly runoff prediction plays an important role in the planning and management
of water resources. However, owing to climate changes and human activities, natural runoff …

[PDF][PDF] Poverty, livelihoods and sustainable development

J Birkmann, E Liwenga, R Pandey, E Boyd, R Djalante… - 2022 - orbi.uliege.be
Adverse impacts of climate change, development deficits and inequality exacerbate each
other. Existing vulnerabilities and inequalities intensify with adverse impacts of climate …

Long-term complementary operation of a large-scale hydro-photovoltaic hybrid power plant using explicit stochastic optimization

H Li, P Liu, S Guo, B Ming, L Cheng, Z Yang - Applied energy, 2019 - Elsevier
The complementary operation of hydro-photovoltaic (PV) hybrid power plants has become
important in the modern power systems. However, the strong variations involved in the …

Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming

B Xu, F Zhu, P Zhong, J Chen, W Liu, Y Ma, L Guo… - Applied Energy, 2019 - Elsevier
Integrated operation of hydropower and wind power, which exploites the former's regulation
flexibility to complement the uncertainty of the latter, enhances the utilization efficiency of …

Long-term stochastic model predictive control and efficiency assessment for hydro-wind-solar renewable energy supply system

Y Zhang, C Cheng, H Cai, X Jin, Z Jia, X Wu, H Su… - Applied Energy, 2022 - Elsevier
It is popular to combine the hydropower plant with the wind and solar power plants to supply
electricity, and the joint is termed as the hydro-wind-solar renewable energy supply system …

Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series …

Z Feng, W Niu, Z Tang, Y Xu, H Zhang - Journal of Hydrology, 2021 - Elsevier
Reliable and stable hydrological prediction plays a vitally crucial role in the scientific
operation of water resources system. As a famous artificial intelligence method for …

Deriving operating rules for a large-scale hydro-photovoltaic power system using implicit stochastic optimization

Z Yang, P Liu, L Cheng, H Wang, B Ming… - Journal of Cleaner …, 2018 - Elsevier
Complementary operation is a new effective way to simultaneously manage hydropower
and photovoltaic (PV) power. With the integration of a PV power into an existing hydropower …

River water temperature forecasting using a deep learning method

R Qiu, Y Wang, B Rhoads, D Wang, W Qiu, Y Tao… - Journal of …, 2021 - Elsevier
Accurate water temperature forecasting is essential for understanding thermal regimes of
rivers in the context of climate change and anthropogenic disturbances, such as dam …