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Energy Management of Smart Homes by Optimizing Energy Consumption Scheduling

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Handbook of Smart Energy Systems

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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.

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Author information

Authors and Affiliations

  1. Faculty of Industrial Engineering, Urmia University of Technology, Urmia, Iran

    Farid Momayezi & Kamyar Sabri-Laghaie

  2. Department of Industrial Engineering, University of Tabriz, Tabriz, Iran

    Nader Ghaffarinasab

Authors
  1. Farid Momayezi
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  2. Kamyar Sabri-Laghaie
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  3. Nader Ghaffarinasab
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Corresponding author

Correspondence to Kamyar Sabri-Laghaie .

Editor information

Editors and Affiliations

  1. Information Technology and Decision Sciences, University of North Texas, Denton, TX, USA

    Mahdi Fathi

  2. Department of Energy, Politecnico di Milano, MILANO, Milano, Italy

    Enrico Zio

  3. Industrial & Systems Engineering, University of Florida, GAINESVILLE, FL, USA

    Panos M. Pardalos

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Momayezi, F., Sabri-Laghaie, K., Ghaffarinasab, N. (2022). Energy Management of Smart Homes by Optimizing Energy Consumption Scheduling. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-72322-4_67-1

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  • DOI: https://doi.org/10.1007/978-3-030-72322-4_67-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72322-4

  • Online ISBN: 978-3-030-72322-4

  • eBook Packages: Springer Reference Economics and FinanceReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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