Publication:
Real and reactive power forecast model for long term demand in peninsular Malaysia

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dc.citedby0
dc.contributor.authorAbdullah S.W.en_US
dc.contributor.authorIsa A.M.en_US
dc.contributor.authorOsman M.en_US
dc.contributor.authorid55243019000en_US
dc.contributor.authorid35788175100en_US
dc.contributor.authorid7201930315en_US
dc.date.accessioned2023-12-29T07:46:25Z
dc.date.available2023-12-29T07:46:25Z
dc.date.issued2012
dc.description.abstractIn planning a power system, load forecasting is a crucial initial step in order to make sure that power delivered will meet the target timely and adequately. This paper aims to determine the best model to estimate the demand, real and reactive, in the twelve states of Peninsular Malaysia. The two methods that will be used for evaluation are Autoregressive Integrated Moving Average (ARIMA) and Regression. Results will be compared to find the best model based on statistical parameter comparison.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.2316/P.2012.768-033
dc.identifier.epage92
dc.identifier.scopus2-s2.0-84861956057
dc.identifier.spage85
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84861956057&doi=10.2316%2fP.2012.768-033&partnerID=40&md5=75aea828e92ec7c0782400a57aa60806
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30298
dc.pagecount7
dc.sourceScopus
dc.sourcetitleProceedings of the IASTED Asian Conference on Power and Energy Systems, AsiaPES 2012
dc.subjectARIMA
dc.subjectLong term load forecast
dc.subjectReactive power forecast
dc.subjectRegional load forecast
dc.subjectRegression
dc.subjectElectric load forecasting
dc.subjectReactive power
dc.subjectARIMA
dc.subjectAuto-regressive integrated moving average
dc.subjectBest model
dc.subjectLoad forecast
dc.subjectLoad forecasting
dc.subjectLong term load
dc.subjectMalaysia
dc.subjectReal and reactive power
dc.subjectRegression
dc.subjectStatistical parameters
dc.subjectForecasting
dc.titleReal and reactive power forecast model for long term demand in peninsular Malaysiaen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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