A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and freshwater
Guozhou Zhang, Weihao Hu, Di Cao, Zhenyuan Zhang, Qi Huang, Zhe Chen, Frede Blaabjerg
Topics & Concepts
Reinforcement learningFlexibility (engineering)Energy managementComputer scienceEnergy management systemScheduleRenewable energyElectricityBenchmark (surveying)Multi-agent systemDistributed computingEnergy (signal processing)EngineeringArtificial intelligenceElectrical engineeringGeodesyMathematicsStatisticsOperating systemGeographyIntegrated Energy Systems OptimizationHybrid Renewable Energy SystemsMicrogrid Control and Optimization