Title |
Electricity theft detection by sources of threats for smart city planning |
ID_Doc |
37440 |
Authors |
Otuoze, AO; Mustafa, MW; Mohammed, OO; Saeed, MS; Surajudeen-Bakinde, NT; Salisu, S |
Title |
Electricity theft detection by sources of threats for smart city planning |
Year |
2019 |
Published |
Iet Smart Cities, 1.0, 2 |
DOI |
10.1049/iet-smc.2019.0045 |
Abstract |
Smart city adoption and deployment has taken the centre stage worldwide with its realisation clearly hinged on energy efficiency, but its planning is threatened by the vulnerability of smart grids (SGs). Adversaries launch attacks with various motives, but the rampaging electricity theft menace is causing major concerns to SGs deployments and consequently, energy efficiency. Smart electricity meters deployments via the advanced metering infrastructure present promising solutions and even greater potential as it provides adequate data for analytical inferences for achieving proactive measures against various cyberattacks. This study suggests the sources of threats as the first step of such proactive measures of curbing electricity thefts. It provides a framework for monitoring, identifying and curbing the threats based on factors indicative of electricity thefts in a smart utility network. The proposed framework basically focuses on these symptoms of the identified threats indicative of possible electricity theft occurrence to decide on preventing thefts. This study gives a useful background to smart city planners in realising a more reliable, robust and secured energy management scheme required for a sustainable city. |
Author Keywords |
power meters; smart power grids; power system security; computer network security; smart cities; power system planning; power system reliability; energy conservation; power engineering computing; energy management systems; electricity supply industry; energy efficiency; smart grids; SG deployments; advanced metering infrastructure; smart utility network; reliable energy management scheme; robust energy management scheme; secured energy management scheme; sustainable city; electricity theft detection; smart city planning; electricity theft occurrence; smart electricity meter deployments; cyber attacks |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Emerging Sources Citation Index (ESCI) |
EID |
WOS:000827421200003 |
WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
Research Area |
Computer Science; Engineering; Telecommunications |
PDF |
https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-smc.2019.0045
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