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A scenario-based multi-agent reinforcement learning approach for efficient solving to long-term optimization of cascade hydropower reservoirs

Zhipeng Zhao, Qibao Wang, Chuntian Cheng, Yongxi Kang

2025Energy5 citationsDOI

Topics & Concepts

CascadeHydropowerStreamflowComputer scienceRobustness (evolution)Mathematical optimizationInflowReinforcement learningScheduling (production processes)Electricity generationRobust optimizationStochastic programmingOptimization problemStochastic optimizationProcess (computing)ScheduleDownstream (manufacturing)Efficient energy useHydrological modellingJob shop schedulingElectric power systemWater resourcesControl engineeringWater resources management and optimizationElectric Power System OptimizationReservoir Engineering and Simulation Methods
A scenario-based multi-agent reinforcement learning approach for efficient solving to long-term optimization of cascade hydropower reservoirs | Litcius