Safe-AutoSAC: AutoML-enhanced safe deep reinforcement learning for integrated energy system scheduling with multi-channel informer forecasting and electric vehicle demand response
Yang Li, Bi Zhao, Yuanzheng Li, Chao Long, Sen Li, Zhaoyang Dong, Mohammad Shahidehpour
Topics & Concepts
Demand responseReinforcement learningScheduling (production processes)ReinforcementEngineeringElectric vehicleChannel (broadcasting)Automotive engineeringComputer scienceOperations researchArtificial intelligenceTelecommunicationsOperations managementElectrical engineeringElectricityPower (physics)Quantum mechanicsPhysicsStructural engineeringSmart Grid Energy ManagementElectric Vehicles and InfrastructureEnergy Load and Power Forecasting