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Autonomic Internet of Things for Enforced Demand Management in Smart Grid

Received: 6 January 2017     Accepted: 8 February 2017     Published: 2 March 2017
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Abstract

Recent research in the field of Internet of Things (IoT) has concentrated on the adaptation of the autonomic computing theory to make IoT self-sufficient and self-managing. The smart grid is one popular IoT application which can greatly benefit from the adoption of autonomy. In this paper, we propose the idea of enforced demand management (EDM) in smart grid as an implementation of the autonomic computing framework. Instead of allowing all consumer appliances to be active, the smart grid can actuate and control selected appliances remotely and autonomic-ally. This will allow the smart grid to be able to exercise some control over the load and consequently the demand it faces during peak hours of usage. Subsequently, the smart grid will be able to enhance efficiency and reliability. Furthermore, cellular network requirements for enabling such a method are also highlighted for the case of Long-Term-Evolution (LTE).

Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 2)
DOI 10.11648/j.ajdmkd.20170202.15
Page(s) 69-75
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Smart Grid, Internet of Things (IoT), Wireless Sensor Networks (WSN), Autonomic Computing, Demand Response

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Cite This Article
  • APA Style

    Qazi Mamoon Ashraf, Chun Yeow Yeoh, Ayesheh Ahrari Khalaf, Ahmed Al-Haddad, Mohamed Hadi Habaebi, et al. (2017). Autonomic Internet of Things for Enforced Demand Management in Smart Grid. American Journal of Data Mining and Knowledge Discovery, 2(2), 69-75. https://doi.org/10.11648/j.ajdmkd.20170202.15

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    ACS Style

    Qazi Mamoon Ashraf; Chun Yeow Yeoh; Ayesheh Ahrari Khalaf; Ahmed Al-Haddad; Mohamed Hadi Habaebi, et al. Autonomic Internet of Things for Enforced Demand Management in Smart Grid. Am. J. Data Min. Knowl. Discov. 2017, 2(2), 69-75. doi: 10.11648/j.ajdmkd.20170202.15

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    AMA Style

    Qazi Mamoon Ashraf, Chun Yeow Yeoh, Ayesheh Ahrari Khalaf, Ahmed Al-Haddad, Mohamed Hadi Habaebi, et al. Autonomic Internet of Things for Enforced Demand Management in Smart Grid. Am J Data Min Knowl Discov. 2017;2(2):69-75. doi: 10.11648/j.ajdmkd.20170202.15

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  • @article{10.11648/j.ajdmkd.20170202.15,
      author = {Qazi Mamoon Ashraf and Chun Yeow Yeoh and Ayesheh Ahrari Khalaf and Ahmed Al-Haddad and Mohamed Hadi Habaebi and Wan Razli Wan Abdullah and Mohamed Razman Yahya},
      title = {Autonomic Internet of Things for Enforced Demand Management in Smart Grid},
      journal = {American Journal of Data Mining and Knowledge Discovery},
      volume = {2},
      number = {2},
      pages = {69-75},
      doi = {10.11648/j.ajdmkd.20170202.15},
      url = {https://doi.org/10.11648/j.ajdmkd.20170202.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170202.15},
      abstract = {Recent research in the field of Internet of Things (IoT) has concentrated on the adaptation of the autonomic computing theory to make IoT self-sufficient and self-managing. The smart grid is one popular IoT application which can greatly benefit from the adoption of autonomy. In this paper, we propose the idea of enforced demand management (EDM) in smart grid as an implementation of the autonomic computing framework. Instead of allowing all consumer appliances to be active, the smart grid can actuate and control selected appliances remotely and autonomic-ally. This will allow the smart grid to be able to exercise some control over the load and consequently the demand it faces during peak hours of usage. Subsequently, the smart grid will be able to enhance efficiency and reliability. Furthermore, cellular network requirements for enabling such a method are also highlighted for the case of Long-Term-Evolution (LTE).},
     year = {2017}
    }
    

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    AU  - Qazi Mamoon Ashraf
    AU  - Chun Yeow Yeoh
    AU  - Ayesheh Ahrari Khalaf
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    AU  - Mohamed Hadi Habaebi
    AU  - Wan Razli Wan Abdullah
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    AB  - Recent research in the field of Internet of Things (IoT) has concentrated on the adaptation of the autonomic computing theory to make IoT self-sufficient and self-managing. The smart grid is one popular IoT application which can greatly benefit from the adoption of autonomy. In this paper, we propose the idea of enforced demand management (EDM) in smart grid as an implementation of the autonomic computing framework. Instead of allowing all consumer appliances to be active, the smart grid can actuate and control selected appliances remotely and autonomic-ally. This will allow the smart grid to be able to exercise some control over the load and consequently the demand it faces during peak hours of usage. Subsequently, the smart grid will be able to enhance efficiency and reliability. Furthermore, cellular network requirements for enabling such a method are also highlighted for the case of Long-Term-Evolution (LTE).
    VL  - 2
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Author Information
  • Telekom Research and Development, Cyberjaya, Malaysia

  • Telekom Research and Development, Cyberjaya, Malaysia

  • IElectrical and Computer Engineering Faculty, International Islamic University Malaysia, Kuala Lumpur, Malaysia

  • IElectrical and Computer Engineering Faculty, International Islamic University Malaysia, Kuala Lumpur, Malaysia

  • IElectrical and Computer Engineering Faculty, International Islamic University Malaysia, Kuala Lumpur, Malaysia

  • Telekom Research and Development, Cyberjaya, Malaysia

  • Telekom Research and Development, Cyberjaya, Malaysia

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