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Energy Management of Smart Homes by Optimizing Energy Consumption Scheduling

In: Handbook of Smart Energy Systems

Author

Listed:
  • Farid Momayezi

    (Urmia University of Technology)

  • Kamyar Sabri-Laghaie

    (Urmia University of Technology)

  • Nader Ghaffarinasab

    (University of Tabriz)

Abstract

An intelligent home is able to automatically adjust and manage different systems of the building according to a predefined plan to control energy consumption level. In order to manage energy costs, smart appliances can be scheduled to be used at different times of the day. Energy costs may continuously vary over time depending on different factors such as inhabitant behavior, weather conditions, renewable energy generation, etc. Scheduling of smart appliances can be carried out by taking into account the varying behavior of energy costs. Therefore, by considering different factors affecting energy costs and operational constraints, mathematical models can be utilized to optimize the scheduling of energy consumption of different appliances of a smart home. These models for optimizing the scheduling of smart appliances can result in significant energy savings. Therefore, the problem of energy consumption scheduling in smart homes is investigated in this research and some basic integer programming and mixed integer programming models are reviewed and described.

Suggested Citation

  • Farid Momayezi & Kamyar Sabri-Laghaie & Nader Ghaffarinasab, 2023. "Energy Management of Smart Homes by Optimizing Energy Consumption Scheduling," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 713-734, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_67
    DOI: 10.1007/978-3-030-97940-9_67
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