Demand response through smart home energy management using thermal inertia

Haiming Wang, Ke Meng, Fengji Luo, Zhao Yang Dong, Gregor Verbič, Zhao Xu, K. P. Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

50 Citations (Scopus)


In this paper, the value of thermal inertia in demand response to benefit customers is determined through a Mixed Integer Linear Programming (MILP) algorithm. Thermal models with different sophistications for a smart house are investigated. The energy consumption for cooling a smart house is optimized to minimize the expenditure of cooling load. One parameter and two-parameter thermal models are integrated into the optimization. The optimization of thermal load for maintaining the smart house within thermal comfort level is formulated as a MILP algorithm under the dynamic pricing policy. It is observed that the utilization of thermal inertia could potentially benefit both smart house owners and grid operators in the context of smart grid.
Original languageEnglish
Title of host publication2013 Australasian Universities Power Engineering Conference, AUPEC 2013
Publication statusPublished - 1 Dec 2013
Event2013 Australasian Universities Power Engineering Conference, AUPEC 2013 - Hobart, TAS, Australia
Duration: 29 Sep 20133 Oct 2013


Conference2013 Australasian Universities Power Engineering Conference, AUPEC 2013
CityHobart, TAS


  • Demand Response
  • Mixed Integer Linear Programming
  • Smart Home Energy Management System
  • Thermal Inertia

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

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