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
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