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A comparative study of adaptive load frequency controller designs in a power system with dynamic neural network models

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dc.contributor.authorOysal, Yusuf
dc.date.accessioned2025-11-13T09:55:37Z
dc.date.issued2005-02-21
dc.identifier.doihttps://doi.org/10.1016/j.enconman.2004.12.010
dc.identifier.endpage2668
dc.identifier.issn0196-8904
dc.identifier.issue15-16
dc.identifier.openalexW1974155085
dc.identifier.startpage2656
dc.identifier.urihttps://hdl.handle.net/11421/2619
dc.identifier.urihttps://doi.org/10.1016/j.enconman.2004.12.010
dc.identifier.volume46
dc.language.isoen
dc.relation.ispartofEnergy Conversion and Management
dc.rightsrestrictedAccess
dc.subjectControl theory (sociology)
dc.subjectController (irrigation)
dc.subjectArtificial neural network
dc.subjectElectric power system
dc.subjectSigmoid function
dc.subjectAutomatic frequency control
dc.subjectComputer science
dc.subjectControl engineering
dc.subjectIntegrator
dc.subjectFuzzy logic
dc.subjectPower (physics)
dc.subjectEngineering
dc.subjectControl (management)
dc.subjectBandwidth (computing)
dc.subjectArtificial intelligence
dc.subject.sdg7
dc.titleA comparative study of adaptive load frequency controller designs in a power system with dynamic neural network models
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5038809066

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