Autonomic Internet of Things for Enforced Demand Management in Smart Grid

Qazi Mamoon Ashraf; Chun Yeow Yeoh; Ayesheh Ahrari Khalaf; Ahmed Al-Haddad; Mohamed Hadi Habaebi; Wan Razli Wan Abdullah; Mohamed Razman Yahya

doi:doi:10.11648/j.ajdmkd.20170202.15

Autonomic Internet of Things for Enforced Demand Management in Smart Grid

Qazi Mamoon Ashraf, Chun Yeow Yeoh, Ayesheh Ahrari Khalaf, Ahmed Al-Haddad, Mohamed Hadi Habaebi, Wan Razli Wan Abdullah, Mohamed Razman Yahya

Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 2)

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

References

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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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TY  - JOUR
T1  - Autonomic Internet of Things for Enforced Demand Management in Smart Grid
AU  - Qazi Mamoon Ashraf
AU  - Chun Yeow Yeoh
AU  - Ayesheh Ahrari Khalaf
AU  - Ahmed Al-Haddad
AU  - Mohamed Hadi Habaebi
AU  - Wan Razli Wan Abdullah
AU  - Mohamed Razman Yahya
Y1  - 2017/03/02
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170202.15
DO  - 10.11648/j.ajdmkd.20170202.15
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 69
EP  - 75
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170202.15
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
IS  - 2
ER  -

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Author Information

Qazi Mamoon Ashraf

Telekom Research and Development, Cyberjaya, Malaysia
Chun Yeow Yeoh

Telekom Research and Development, Cyberjaya, Malaysia
Ayesheh Ahrari Khalaf

IElectrical and Computer Engineering Faculty, International Islamic University Malaysia, Kuala Lumpur, Malaysia
Ahmed Al-Haddad

IElectrical and Computer Engineering Faculty, International Islamic University Malaysia, Kuala Lumpur, Malaysia
Mohamed Hadi Habaebi

IElectrical and Computer Engineering Faculty, International Islamic University Malaysia, Kuala Lumpur, Malaysia
Wan Razli Wan Abdullah

Telekom Research and Development, Cyberjaya, Malaysia
Mohamed Razman Yahya

Telekom Research and Development, Cyberjaya, Malaysia

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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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TY  - JOUR
T1  - Autonomic Internet of Things for Enforced Demand Management in Smart Grid
AU  - Qazi Mamoon Ashraf
AU  - Chun Yeow Yeoh
AU  - Ayesheh Ahrari Khalaf
AU  - Ahmed Al-Haddad
AU  - Mohamed Hadi Habaebi
AU  - Wan Razli Wan Abdullah
AU  - Mohamed Razman Yahya
Y1  - 2017/03/02
PY  - 2017
N1  - https://doi.org/10.11648/j.ajdmkd.20170202.15
DO  - 10.11648/j.ajdmkd.20170202.15
T2  - American Journal of Data Mining and Knowledge Discovery
JF  - American Journal of Data Mining and Knowledge Discovery
JO  - American Journal of Data Mining and Knowledge Discovery
SP  - 69
EP  - 75
PB  - Science Publishing Group
SN  - 2578-7837
UR  - https://doi.org/10.11648/j.ajdmkd.20170202.15
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
IS  - 2
ER  -

Copy | Download