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The fuzzy decision tree application to a power system problem

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dc.citedby6
dc.contributor.authorLo K.L.en_US
dc.contributor.authorAbidin H.I.H.Zen_US
dc.contributor.authorid7402101511en_US
dc.contributor.authorid35606640500en_US
dc.date.accessioned2023-12-28T03:24:50Z
dc.date.available2023-12-28T03:24:50Z
dc.date.issued2004
dc.description.abstractThis paper describes voltage collapse in power system networks and how it could lead to a collapse of the whole system. Discusses the effect of machine learning and artificial intelligence leading to new methods. Spotlight the fuzzy decision tree (FDT) method and its application to voltage collapse assessments. Concludes that FDT can identify and group data sets giving a new understanding of its application in voltage collapse analysis.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1108/03321640410510596
dc.identifier.epage451
dc.identifier.issue2
dc.identifier.scopus2-s2.0-1942488364
dc.identifier.spage436
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-1942488364&doi=10.1108%2f03321640410510596&partnerID=40&md5=298fe4daf3c18fb46493b27d8ec89a47
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29354
dc.identifier.volume23
dc.pagecount15
dc.sourceScopus
dc.sourcetitleCOMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
dc.subjectFuzzy logic
dc.subjectPower transmission systems
dc.subjectSystems theory
dc.subjectVoltage
dc.subjectVoltage fluctuations
dc.subjectAlgorithms
dc.subjectArtificial intelligence
dc.subjectDecision theory
dc.subjectElectric breakdown
dc.subjectElectric power systems
dc.subjectLearning systems
dc.subjectSystem theory
dc.subjectTrees (mathematics)
dc.subjectFuzzy decision tree
dc.subjectVoltage collapse
dc.subjectVoltage fluctuations
dc.subjectFuzzy sets
dc.titleThe fuzzy decision tree application to a power system problemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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