Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/424387
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-12T06:17:17Z-
dc.date.available2022-12-12T06:17:17Z-
dc.identifier.urihttp://hdl.handle.net/10603/424387-
dc.format.extentxii,235
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleSolar Power Prediction and Local Energy Management in Microgrid using Machine Learning Techniques
dc.title.alternative
dc.creator.researcherMajumder,Irani
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideNayak,N.
dc.publisher.placeBhubaneswar
dc.publisher.universitySiksha
dc.publisher.institutionDepartment of Electrical Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electrical Engineering

Files in This Item:
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01_title.pdfAttached File319.73 kBAdobe PDFView/Open
03_content.pdf226.27 kBAdobe PDFView/Open
04_abstract.pdf137.82 kBAdobe PDFView/Open
05_chapter-1.pdf668.77 kBAdobe PDFView/Open
06_chapter-2.pdf493.6 kBAdobe PDFView/Open
07_chapter-3.pdf2.09 MBAdobe PDFView/Open
08_chapter-4.pdf2.53 MBAdobe PDFView/Open
09_chapter-5.pdf790.19 kBAdobe PDFView/Open
80_recommendation.pdf174.43 kBAdobe PDFView/Open
annexures.pdf555.2 kBAdobe PDFView/Open
chapter-6.pdf2.62 MBAdobe PDFView/Open
chapter-7.pdf409.67 kBAdobe PDFView/Open
prelim pages.pdf501.01 kBAdobe PDFView/Open


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