Publication:
Modelling altered revenue function based on varying power consumption distribution and electricity tariff charge using data analytics framework

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dc.Conferencecode130792
dc.Conferencedate8 August 2017 through 10 August 2017
dc.Conferencename1st International Conference on Applied and Industrial Mathematics and Statistics 2017, ICoAIMS 2017
dc.FundingDetailsFoundation for Fundamental Research on Matter,FOM: FRGS/1/2015/SS08/USIM/02/2,RAGS/1/2015/SS0/USIM/02/1 Ministry of Higher Education, Malaysia,�MOHE
dc.FundingDetailsThis research is supported by Fundamental Research Grant Scheme (FRGS/1/2015/SS08/USIM/02/2) and Research Acculturation Grant Scheme (RAGS/1/2015/SS0/USIM/02/1) from Ministry of Higher Education. We would like to thank our colleagues from Universiti Sains Islam Malaysia (USIM), International Islamic University Malaysia (IIUM) and University of Malaya (UM) who provided insight and expertise that greatly assisted this research. We thank Assoc. Prof. Samiappan Marappan who has greatly improved the quality of this manuscript.
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorZainudin W.N.R.A.en_US
dc.contributor.authorRamli N.A.en_US
dc.date.accessioned2024-05-28T08:25:02Z
dc.date.available2024-05-28T08:25:02Z
dc.date.issued2017
dc.description.abstractIn 2010, Energy Commission (EC) had introduced Incentive Based Regulation (IBR) to ensure sustainable Malaysian Electricity Supply Industry (MESI), promotes transparent and fair returns, encourage maximum efficiency and maintains policy driven end user tariff. To cater such revolutionary transformation, a sophisticated system to generate policy driven electricity tariff structure is in great need. Hence, this study presents a data analytics framework that generates altered revenue function based on varying power consumption distribution and tariff charge function. For the purpose of this study, the power consumption distribution is being proxy using proportion of household consumption and electricity consumed in KwH and the tariff charge function is being proxy using three-tiered increasing block tariff (IBT). The altered revenue function is useful to give an indication on whether any changes in the power consumption distribution and tariff charges will give positive or negative impact to the economy. The methodology used for this framework begins by defining the revenue to be a function of power consumption distribution and tariff charge function. Then, the proportion of household consumption and tariff charge function is derived within certain interval of electricity power. Any changes in those proportion are conjectured to contribute towards changes in revenue function. Thus, these changes can potentially give an indication on whether the changes in power consumption distribution and tariff charge function are giving positive or negative impact on TNB revenue. Based on the finding of this study, major changes on tariff charge function seems to affect altered revenue function more than power consumption distribution. However, the paper concludes that power consumption distribution and tariff charge function can influence TNB revenue to some great extent. � Published under licence by IOP Publishing Ltd.en_US
dc.description.natureFinalen_US
dc.editorMuhammad N.en_US
dc.identifier.ArtNo12099
dc.identifier.doi10.1088/1742-6596/890/1/012099
dc.identifier.issn17426588
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85030711906
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030711906&doi=10.1088%2f1742-6596%2f890%2f1%2f012099&partnerID=40&md5=b29b43a127bb691246a202d9e3e921f8
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/8599
dc.identifier.volume890
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInstitute of Physics Publishingen_US
dc.relation.ispartofOpen Accessen_US
dc.relation.ispartofJournal of Physics: Conference Series
dc.sourceScopus
dc.titleModelling altered revenue function based on varying power consumption distribution and electricity tariff charge using data analytics frameworken_US
dc.title.alternativeJ. Phys. Conf. Ser.en_US
dc.typeConference Paperen_US
dspace.entity.typePublication

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