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An Overview of the Architecture of Home Energy Management System as Microgrids, Automation Systems, Communication Protocols, Security, and Cyber Challenges

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Listed:
  • Kamran Taghizad-Tavana

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Mohsen Ghanbari-Ghalehjoughi

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Nazila Razzaghi-Asl

    (Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166616471, Iran)

  • Sayyad Nojavan

    (Department of Electrical Engineering, University of Bonab, Bonab 5551761167, Iran)

  • As’ad Alizadeh

    (Department of Civil Engineering, College of Engineering, Cihan University-Erbil, Erbil 44001, Iraq)

Abstract

Today, the role of smart machines in our lives is valuable. With the advancement of digital technologies, such as the internet of things (IoT), many embedded systems have been developed for various applications. In homes, all daily activities and even security depend on machines. Therefore, implementing IoT-based smart homes has become a prominent research field. Also, since we are in the era of endless growth of the IoT and its applications, the topic of home automation systems is becoming more popular due to its countless advantages. In general, most home automation systems focus on one function: the ability to control home appliances remotely. In the world of information technology, the creation of rules and standards should always be done in the early stages of development because, after the work is done, incompatibilities between devices are created, which is a severe challenge and limits the use of technology. Therefore, the research on IoT technology has led to the formation of various protocols; this article gives an overview of seven essential protocols. Also, in this review article, energy consumption management, and privacy and security issues are discussed, and smart homes are introduced as critical requirements for the evolution of smart cities.

Suggested Citation

  • Kamran Taghizad-Tavana & Mohsen Ghanbari-Ghalehjoughi & Nazila Razzaghi-Asl & Sayyad Nojavan & As’ad Alizadeh, 2022. "An Overview of the Architecture of Home Energy Management System as Microgrids, Automation Systems, Communication Protocols, Security, and Cyber Challenges," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15938-:d:988253
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    References listed on IDEAS

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    1. Faheem Khan & Abdullah A. Al-Atawi & Abdullah Alomari & Amjad Alsirhani & Mohammed Mujib Alshahrani & Jawad Khan & Youngmoon Lee, 2022. "Development of a Model for Spoofing Attacks in Internet of Things," Mathematics, MDPI, vol. 10(19), pages 1-16, October.
    2. Mendonça, Sandro & Damásio, Bruno & Charlita de Freitas, Luciano & Oliveira, Luís & Cichy, Marcin & Nicita, António, 2022. "The rise of 5G technologies and systems: A quantitative analysis of knowledge production," Telecommunications Policy, Elsevier, vol. 46(4).
    3. Shin, Jungwoo & Park, Yuri & Lee, Daeho, 2018. "Who will be smart home users? An analysis of adoption and diffusion of smart homes," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 246-253.
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    Cited by:

    1. Kamran Taghizad-Tavana & As’ad Alizadeh & Mohsen Ghanbari-Ghalehjoughi & Sayyad Nojavan, 2023. "A Comprehensive Review of Electric Vehicles in Energy Systems: Integration with Renewable Energy Sources, Charging Levels, Different Types, and Standards," Energies, MDPI, vol. 16(2), pages 1-23, January.
    2. Mehrdad Tarafdar-Hagh & Kamran Taghizad-Tavana & Mohsen Ghanbari-Ghalehjoughi & Sayyad Nojavan & Parisa Jafari & Amin Mohammadpour Shotorbani, 2023. "Optimizing Electric Vehicle Operations for a Smart Environment: A Comprehensive Review," Energies, MDPI, vol. 16(11), pages 1-21, May.
    3. Xinzhou Li & Guifen Chen & Guowei Wu & Zhiyao Sun & Guangjiao Chen, 2023. "D2D Communication Network Interference Coordination Scheme Based on Improved Stackelberg," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    4. Pinthurat, Watcharakorn & Surinkaew, Tossaporn & Hredzak, Branislav, 2024. "An overview of reinforcement learning-based approaches for smart home energy management systems with energy storages," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).

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