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Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure

Electricity theft menace has attracted various research efforts with most proposed detection algorithms relying on analysing customers' consumption profile to determine fraudulent electricity consumers (FEC). This necessitates the need for on-site inspections before penalties are sanctioned des...

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Main Authors:	Otuoze, Abdulrahaman Okino, Mustafa, Mohd. Wazir, Abdulrahman, Abdulhakeem Temitope, Mohammed, Olatunji Obalowu, Salisu, Sani
Format:	Article
Published:	Elsevier Ltd 2020
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/93804/ http://dx.doi.org/10.1016/j.enpol.2020.111553
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id	my.utm.93804
record_format	eprints
spelling	my.utm.938042021-12-31T08:51:11Z http://eprints.utm.my/id/eprint/93804/ Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure Otuoze, Abdulrahaman Okino Mustafa, Mohd. Wazir Abdulrahman, Abdulhakeem Temitope Mohammed, Olatunji Obalowu Salisu, Sani TK Electrical engineering. Electronics Nuclear engineering Electricity theft menace has attracted various research efforts with most proposed detection algorithms relying on analysing customers' consumption profile to determine fraudulent electricity consumers (FEC). This necessitates the need for on-site inspections before penalties are sanctioned despite the manpower, cost, energy, time, and stress associated with such tedious routine. Moreover, the penalty-imposed fines are bogusly determined and uncoordinated, and losses in revenue are burdened on the honest consumers. Fortunately, the advent of advanced metering infrastructure offers a flexible and efficient platform which can be leveraged to provide additional functionality of curbing these complicated procedures. In this work, a cost estimation-based model deploying a forced corrective measure for a real-time enforcement of penalties on FEC in a smart utility network is proposed. It relies on the results of commonly applied intelligent algorithms for electricity theft detection to obtain the amount and cost of energy consumed by reported FEC while also providing efficient monitoring till imposed fines are cleared. The results of the developed model give proportionate sanctions and enhances the functions of the system manager's monitoring of the operational status to ensure compliance and is suitable for deployment in a smart utility network. Elsevier Ltd 2020-08 Article PeerReviewed Otuoze, Abdulrahaman Okino and Mustafa, Mohd. Wazir and Abdulrahman, Abdulhakeem Temitope and Mohammed, Olatunji Obalowu and Salisu, Sani (2020) Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure. Energy Policy, 143 . ISSN 0301-4215 http://dx.doi.org/10.1016/j.enpol.2020.111553 DOI:10.1016/j.enpol.2020.111553
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Otuoze, Abdulrahaman Okino Mustafa, Mohd. Wazir Abdulrahman, Abdulhakeem Temitope Mohammed, Olatunji Obalowu Salisu, Sani Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure
description	Electricity theft menace has attracted various research efforts with most proposed detection algorithms relying on analysing customers' consumption profile to determine fraudulent electricity consumers (FEC). This necessitates the need for on-site inspections before penalties are sanctioned despite the manpower, cost, energy, time, and stress associated with such tedious routine. Moreover, the penalty-imposed fines are bogusly determined and uncoordinated, and losses in revenue are burdened on the honest consumers. Fortunately, the advent of advanced metering infrastructure offers a flexible and efficient platform which can be leveraged to provide additional functionality of curbing these complicated procedures. In this work, a cost estimation-based model deploying a forced corrective measure for a real-time enforcement of penalties on FEC in a smart utility network is proposed. It relies on the results of commonly applied intelligent algorithms for electricity theft detection to obtain the amount and cost of energy consumed by reported FEC while also providing efficient monitoring till imposed fines are cleared. The results of the developed model give proportionate sanctions and enhances the functions of the system manager's monitoring of the operational status to ensure compliance and is suitable for deployment in a smart utility network.
format	Article
author	Otuoze, Abdulrahaman Okino Mustafa, Mohd. Wazir Abdulrahman, Abdulhakeem Temitope Mohammed, Olatunji Obalowu Salisu, Sani
author_facet	Otuoze, Abdulrahaman Okino Mustafa, Mohd. Wazir Abdulrahman, Abdulhakeem Temitope Mohammed, Olatunji Obalowu Salisu, Sani
author_sort	Otuoze, Abdulrahaman Okino
title	Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure
title_short	Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure
title_full	Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure
title_fullStr	Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure
title_full_unstemmed	Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure
title_sort	penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure
publisher	Elsevier Ltd
publishDate	2020
url	http://eprints.utm.my/id/eprint/93804/ http://dx.doi.org/10.1016/j.enpol.2020.111553
_version_	1720980127362318336
score	13.250924

Penalization of electricity thefts in smart utility networks by a cost estimation-based forced corrective measure

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