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Three autoregressive-neural network hybrid models for energy efficiency estimation of induction motors

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dc.contributor.authorSertsöz, Mi̇ne
dc.contributor.authorFidan, Mehmet
dc.contributor.authorMehmet Kurban
dc.contributor.orcid0000-0003-1641-9191
dc.contributor.orcid0000-0003-2883-9863
dc.contributor.orcid0000-0003-2618-2861
dc.date.accessioned2025-11-13T12:22:33Z
dc.date.issued2018-11-16
dc.identifier.doihttps://doi.org/10.1108/compel-02-2018-0093
dc.identifier.endpage451
dc.identifier.issn0332-1649
dc.identifier.issue1
dc.identifier.openalexW2901382718
dc.identifier.startpage431
dc.identifier.urihttps://hdl.handle.net/11421/9833
dc.identifier.urihttps://doi.org/10.1108/compel-02-2018-0093
dc.identifier.volume38
dc.language.isoen
dc.relation.ispartofCOMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering
dc.rightsrestrictedAccess
dc.subjectArtificial neural network
dc.subjectInduction motor
dc.subjectResidual
dc.subjectAutoregressive model
dc.subjectComputer science
dc.subjectEfficient energy use
dc.subjectEnergy (signal processing)
dc.subjectPower (physics)
dc.subjectEngineering
dc.subjectArtificial intelligence
dc.subjectMathematics
dc.subjectAlgorithm
dc.subjectStatistics
dc.subject.sdg7
dc.titleThree autoregressive-neural network hybrid models for energy efficiency estimation of induction motors
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5049358939
local.authorid.openalexA5041676219

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