Publication:
NTL detection of electricity theft and abnormalities for large power consumers in TNB malaysia

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dc.citedby39
dc.contributor.authorNagi J.en_US
dc.contributor.authorYap K.S.en_US
dc.contributor.authorNagi F.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorAhmed S.K.en_US
dc.contributor.authorid25825455100en_US
dc.contributor.authorid24448864400en_US
dc.contributor.authorid56272534200en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid25926812900en_US
dc.date.accessioned2023-12-28T07:17:47Z
dc.date.available2023-12-28T07:17:47Z
dc.date.issued2010
dc.description.abstractElectricity consumer dishonesty is a problem faced by all power utilities. Finding efficient measurements for detecting fraudulent electricity consumption has been an active research area in recent years. This paper presents an approach towards detection of Non-technical Losses (NTLs) of Large Power Consumers (LPC) in Tenaga Nasional Berhad (TNB) Malaysia. The main motivation of this study is to assist Tenaga Nasional Berhad (TNB) Sdn. Bhd. in Malaysia to reduce its NTLs in the LPC distribution sector. Remote meters installed at premises of LPC customers transmit power consumption data including remote meter events wirelessly to TNB Metering Services Sdn. Bhd. The remote meter reading (RMR) consumption data for TNB LPC customers is recorded based on half-hourly intervals. The technique proposed in this paper correlates the half-hourly RMR consumption data with abnormal meter events. The correlated data provides information regarding consumption characteristics i.e. load profiles of LPC customers, which helps to expose abnormal consumption behavior that is known to be highly correlated with NTL activities and electricity theft. Pilot testing results obtained from TNB Distribution (TNBD) Sdn. Bhd. for onsite inspection of LPC customers in peninsular Malaysia indicate the proposed NTL detection technique is effective with a 55% detection hitrate. With the implementation of this intelligent system, NTL activities of LPC customers in TNB Malaysia will reduce significantly. �2010 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5704002
dc.identifier.doi10.1109/SCORED.2010.5704002
dc.identifier.epage206
dc.identifier.scopus2-s2.0-79951999075
dc.identifier.spage202
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79951999075&doi=10.1109%2fSCORED.2010.5704002&partnerID=40&md5=19463a67762c5c7c43b06afb74588f43
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29627
dc.pagecount4
dc.sourceScopus
dc.sourcetitleProceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
dc.subjectElectricity theft
dc.subjectFuzzy logic
dc.subjectIntelligent systems
dc.subjectNontechnical loss
dc.subjectRemote meters
dc.subjectCrime
dc.subjectCustomer satisfaction
dc.subjectElectricity
dc.subjectFuzzy logic
dc.subjectFuzzy systems
dc.subjectInnovation
dc.subjectIntelligent systems
dc.subjectSales
dc.subjectCorrelated data
dc.subjectDetection technique
dc.subjectDistribution sector
dc.subjectElectricity consumers
dc.subjectElectricity theft
dc.subjectElectricity-consumption
dc.subjectHighly-correlated
dc.subjectLarge power consumer
dc.subjectLoad profiles
dc.subjectMalaysia
dc.subjectNon-technical loss
dc.subjectOn-site inspection
dc.subjectPilot testing
dc.subjectPower utility
dc.subjectRemote meter reading
dc.subjectRemote meters
dc.subjectResearch areas
dc.subjectTransmit power
dc.subjectEngineering research
dc.titleNTL detection of electricity theft and abnormalities for large power consumers in TNB malaysiaen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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