Autonomic Internet of things for enforced demand management in smart grid
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 prop...
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iium-560822017-07-18T07:55:54Z http://irep.iium.edu.my/56082/ Autonomic Internet of things for enforced demand management in smart grid Ashraf, Qazi Mamoon Chun, Yeow Yeoh Khalaf, Ayesheh Ahrari Al-Haddah, Ahmed Habaebi, Mohamed Hadi Wan Abdullah, Wan Razli Yahya, Mohamed Razman TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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). Science Publishing Group 2017-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/56082/1/10.11648.j.ajdmkd.20170202.15-1.pdf Ashraf, Qazi Mamoon and Chun, Yeow Yeoh and Khalaf, Ayesheh Ahrari and Al-Haddah, Ahmed and Habaebi, Mohamed Hadi and Wan Abdullah, Wan Razli and Yahya, Mohamed Razman (2017) Autonomic Internet of things for enforced demand management in smart grid. American Journal of Data Mining and Knowledge Discovery, 2 (2). pp. 69-75. http://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170202.15.pdf 10.11648/j.ajdmkd.20170202.15 |
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Digital Repository |
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Local University |
institution |
International Islamic University Malaysia |
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IIUM Repository |
collection |
Online Access |
language |
English |
topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
spellingShingle |
TK5101 Telecommunication. Including telegraphy, radio, radar, television TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Ashraf, Qazi Mamoon Chun, Yeow Yeoh Khalaf, Ayesheh Ahrari Al-Haddah, Ahmed Habaebi, Mohamed Hadi Wan Abdullah, Wan Razli Yahya, Mohamed Razman Autonomic Internet of things for enforced demand management in smart grid |
description |
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). |
format |
Article |
author |
Ashraf, Qazi Mamoon Chun, Yeow Yeoh Khalaf, Ayesheh Ahrari Al-Haddah, Ahmed Habaebi, Mohamed Hadi Wan Abdullah, Wan Razli Yahya, Mohamed Razman |
author_facet |
Ashraf, Qazi Mamoon Chun, Yeow Yeoh Khalaf, Ayesheh Ahrari Al-Haddah, Ahmed Habaebi, Mohamed Hadi Wan Abdullah, Wan Razli Yahya, Mohamed Razman |
author_sort |
Ashraf, Qazi Mamoon |
title |
Autonomic Internet of things for enforced demand
management in smart grid |
title_short |
Autonomic Internet of things for enforced demand
management in smart grid |
title_full |
Autonomic Internet of things for enforced demand
management in smart grid |
title_fullStr |
Autonomic Internet of things for enforced demand
management in smart grid |
title_full_unstemmed |
Autonomic Internet of things for enforced demand
management in smart grid |
title_sort |
autonomic internet of things for enforced demand
management in smart grid |
publisher |
Science Publishing Group |
publishDate |
2017 |
url |
http://irep.iium.edu.my/56082/ http://irep.iium.edu.my/56082/ http://irep.iium.edu.my/56082/ http://irep.iium.edu.my/56082/1/10.11648.j.ajdmkd.20170202.15-1.pdf |
first_indexed |
2023-09-18T21:19:08Z |
last_indexed |
2023-09-18T21:19:08Z |
_version_ |
1777411763069779968 |