Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries

K. Paridari, A. Parisio, Henrik Sandberg, K.H. Johansson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In this paper, we present a novel method for scheduling smart appliances and batteries, in order to reduce both the electricity bill and the CO 2 emissions. Mathematically, the scheduling problem is posed as a multi-objective Mixed Integer Linear Programming (MILP), which can be solved by using standard algorithms. A case study is performed to assess the performance of the proposed scheduling framework. Numerical results show that the new formulation can decrease both the CO 2 emissions and the electricity bill. Furthermore, a survey of studies that deal with scheduling of smart appliances is provided. These papers use methods based on MILP, Dynamic Programming (DP), and Minimum Cut Algorithm (MCA) for solving the scheduling problem. We discuss their performance in terms of computation time and optimality versus time discretization and number of appliances.
Original languageEnglish
Title of host publication2014 IEEE International Conference on Automation Science and Engineering (CASE)
Place of Publication Piscataway
Number of pages8
ISBN (Electronic)978-1-4799-5283-0
Publication statusPublished - 30 Oct 2014
EventAutomation Science and Engineering (CASE). IEEE International Conference on - Taipei, Taiwan
Duration: 18 Aug 201422 Aug 2014


ConferenceAutomation Science and Engineering (CASE). IEEE International Conference on


  • domestic appliances
  • dynamic programming
  • environmental management
  • graph theory
  • integer programming
  • linear programming
  • power system economics
  • scheduling
  • secondary cells
  • MILP
  • active houses
  • batteries
  • carbon dioxide efficient scheduling
  • carbon dioxide emission reduction
  • electricity bill reduction
  • energy scheduling
  • minimum cut algorithm
  • multiobjective mixed integer linear programming
  • smart appliances
  • Automation
  • Batteries
  • Electricity
  • Home appliances
  • Optimal scheduling
  • Power demand
  • Scheduling


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