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dc.contributor.advisorKhincha, H P
dc.contributor.authorKhandelwal, Sulabh
dc.date.accessioned2011-09-22T05:29:42Z
dc.date.accessioned2018-07-31T04:58:16Z
dc.date.available2011-09-22T05:29:42Z
dc.date.available2018-07-31T04:58:16Z
dc.date.issued2011-09-22
dc.date.submitted2005
dc.identifier.urihttps://etd.iisc.ac.in/handle/2005/1433
dc.identifier.abstracthttp://etd.iisc.ac.in/static/etd/abstracts/1849/G19137-Abs.pdfen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesG19137en_US
dc.subjectNeural Networksen_US
dc.subjectHigh Voltagesen_US
dc.subjectTransientsen_US
dc.subjectOvervoltageen_US
dc.subjectElectric Power Systemsen_US
dc.subjectSwitching Overvoltagesen_US
dc.subjectPower System Restorationen_US
dc.subjectSwitching Transient Peak Overvoltagesen_US
dc.subjectPeak Transient Overvoltagesen_US
dc.subject.classificationElectrical Engineeringen_US
dc.titleArtificial Neural Networks Approach For Estimation Of Line Energization Peak Transient Overvoltages During Restorationen_US
dc.typeThesisen_US
dc.degree.nameMSc Enggen_US
dc.degree.levelMastersen_US
dc.degree.disciplineFaculty of Engineeringen_US


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