Multi-agent distributed reinforcement learning for energy-efficient thermal comfort control in multi-zone buildings with diverse occupancy patterns
Shahzeb Tariq, Usama Ali, Sangyoun Kim, ChangKyoo Yoo
Topics & Concepts
OccupancyThermal comfortReinforcement learningReinforcementEnvironmental scienceEnergy (signal processing)Control (management)Computer scienceThermalArchitectural engineeringCivil engineeringEngineeringArtificial intelligenceGeographyStructural engineeringMeteorologyStatisticsMathematicsBuilding Energy and Comfort OptimizationWind and Air Flow StudiesUrban Heat Island Mitigation