Demonstration of Intelligent HVAC Load Management With Deep Reinforcement Learning: Real-World Experience of Machine Learning in Demand Control
Yan Du, Fangxing Li, Kuldeep Kurte, Peter L. Munk, Helia Zandi
Abstract
Buildings account for 40% of total primary energy consumption and 30% of all CO<sub>2</sub> emissions worldwide. A large portion of building energy consumption is due to heating, ventilation, and air-conditioning (HVAC) systems. In the summer, for example, more than 50% of a building’s electricity consumption is used for cooling. With proper energy management, buildings can provide load shifting, peak shaving, frequency regulation, and many other demand response services.
Topics & Concepts
HVACLoad managementAir conditioningDemand responseBuilding management systemElectricityEnergy consumptionReinforcement learningEnergy managementArchitectural engineeringBuilding automationPeaking power plantAutomotive engineeringConsumption (sociology)Ventilation (architecture)Cooling loadComputer sciencePeak demandEngineeringControl (management)Energy (signal processing)Electrical engineeringRenewable energyMechanical engineeringArtificial intelligenceDistributed generationPhysicsMathematicsStatisticsSociologySocial scienceThermodynamicsSmart Grid Energy ManagementBuilding Energy and Comfort OptimizationEnergy Load and Power Forecasting