Publication:
BOUNDARY RE-ASSESSMENT of the METER READING UNIT (MRU) for TENAGA NASIONAL BERHAD, TNB CHERAS

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dc.contributor.authorZulkflee A.en_US
dc.contributor.authorAbdul Khanan M.F.en_US
dc.contributor.authorUmar H.A.en_US
dc.contributor.authorAbdul Rahman M.Z.en_US
dc.contributor.authorNik Mohd Kamil F.en_US
dc.contributor.authorid57216332586en_US
dc.contributor.authorid56530750700en_US
dc.contributor.authorid57188733966en_US
dc.contributor.authorid57204880413en_US
dc.contributor.authorid57216333383en_US
dc.date.accessioned2023-05-29T07:23:06Z
dc.date.available2023-05-29T07:23:06Z
dc.date.issued2019
dc.descriptionGeographic information systems; Information systems; Information use; Travel time; Clustering analysis; Electrical distribution; GIS application; Modelling tools; Remote meter reading; Spatial analysis; Spatial data analysis; Technical loss; Spatial variables measurementen_US
dc.description.abstractThe propensity of Geographic information systems (GIS) as a modelling tool for problems solving and spatial data analysis is remarkable and has been widely used in recent times. GIS applications has been utilized by Tenaga Nasional Berhad (TNB) in solving numerous problems. However, there are other units within the TNB where GIS can be extended and incorporated in order to improve service efficiency, reliability and operational success. Remote meter reading (RMR) technology has been successfully extended and maintain by TNB to more than 70% of highly consumed customers, which tremendously assist in improving meter reading processes and curtailed technical losses. But growing population within the cities and surrounding villages has been the major issue regarding bill distribution which the giant electrical distribution company must address squarely and timely. This paper therefore, employed the application of Geographic Information System in re-assessing the boundaries for meter reading units (MRU) using spatial analysis in order to reduced cost, travel time as well as other logistic requirements regarding billing distribution by TNB personnel. Clustering and network analysis has been employed to generate the new MRU boundary for TNB. The result of clustering analysis has been used to consider the location of customers in new suggested group of clusters, while the network analysis result generates shorter distance routes for meter reading. The results of the analysis can be validated with the analysis graph, where the patterns of the distance are compared in a graph which shows the distance generated from the new suggested cluster of new MRU boundary decrease incrementally compared with the distance of existing MRU routes. � 2019 A. Zulkflee et al.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.5194/isprs-archives-XLII-4-W16-729-2019
dc.identifier.epage736
dc.identifier.issue4/W16
dc.identifier.scopus2-s2.0-85083247132
dc.identifier.spage729
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083247132&doi=10.5194%2fisprs-archives-XLII-4-W16-729-2019&partnerID=40&md5=12c63288ea6fa5f20e07bc978abee7a0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24377
dc.identifier.volume42
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.sourceScopus
dc.sourcetitleInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.titleBOUNDARY RE-ASSESSMENT of the METER READING UNIT (MRU) for TENAGA NASIONAL BERHAD, TNB CHERASen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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