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To regulate energy consumption and enable Demand-Response programs, effective demand-side management at home is key and an integral part of the future Smart Grid. In essence, the home energy management is a mix between discrete appliance scheduling problem with deadlines and continuous Heating, Ventilation and Cooling (HVC) device control problem. In this paper, the authors present near-optimal algorithm designs for energy management at home that is incentive-compatible with market-based Demand-Response programs under explicit user comfort constraints. Theoretical analysis aside, they also show the effectiveness of their algorithms through simulation studies based on real energy pricing and consumption data in South Korea.
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