Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/542996
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-01-31T07:09:13Z-
dc.date.available2024-01-31T07:09:13Z-
dc.identifier.urihttp://hdl.handle.net/10603/542996-
dc.description.abstractattached newline
dc.format.extentXIX, 112
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine Learning Based Protection Scheme for DC Microgrid Under Stressed Scenarios
dc.title.alternative
dc.creator.researcherTiwari, Shankarshan Prasad
dc.subject.keywordDC microgrid
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordfault detection classification
dc.subject.keywordgrid connected
dc.subject.keywordislanded mode
dc.subject.keywordsection identification
dc.subject.keywordweather intermittency
dc.description.note
dc.contributor.guideKoley, Ebha
dc.publisher.placeRaipur
dc.publisher.universityNational Institute of Technology Raipur
dc.publisher.institutionElectrical Engineering
dc.date.registered2018
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions31 cm * 20 cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electrical Engineering

Files in This Item:
File Description SizeFormat 
01_ title.pdfAttached File371.03 kBAdobe PDFView/Open
02_preliminary page.pdf1.32 MBAdobe PDFView/Open
03_content.pdf322.93 kBAdobe PDFView/Open
04_abstract.pdf184.08 kBAdobe PDFView/Open
05_chapter 1.pdf517.63 kBAdobe PDFView/Open
06_chapter 2.pdf1.51 MBAdobe PDFView/Open
07_chapter 3.pdf2.5 MBAdobe PDFView/Open
08_chapter 4.pdf2.86 MBAdobe PDFView/Open
09_annexures.pdf696.94 kBAdobe PDFView/Open
80_recommendation.pdf511.45 kBAdobe PDFView/Open


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