Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/547243
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dc.coverage.spatial
dc.date.accessioned2024-02-26T05:38:04Z-
dc.date.available2024-02-26T05:38:04Z-
dc.identifier.urihttp://hdl.handle.net/10603/547243-
dc.description.abstractAvailable
dc.format.extentXX,156p,
dc.languageEnglish
dc.relationNo.of References 147
dc.rightsuniversity
dc.titleAi Based Real Time Analysis of Demand Side Management for Renewable Energy Integrated Smart Grid System Using IoT
dc.title.alternative
dc.creator.researcherBala Kumar, P
dc.subject.keywordArtificial Intelligence (AI)
dc.subject.keywordDemand Response (DR)
dc.subject.keywordDemand Side Management (DSM)
dc.subject.keywordDynamic Electricity Pricing
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordInternet of Things (IoT)
dc.subject.keywordRenewable energy
dc.subject.keywordSmart Grid.
dc.description.note
dc.contributor.guideVinopraba, T
dc.publisher.placePuducherry
dc.publisher.universityNational Institute of Technology Puducherry
dc.publisher.institutionElectrical and Electronics Engineering
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Electrical and Electronics Engineering

Files in This Item:
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01_title.pdfAttached File189.77 kBAdobe PDFView/Open
02_prelim pages.pdf434.49 kBAdobe PDFView/Open
03_content.pdf75.28 kBAdobe PDFView/Open
04_abstract.pdf46.86 kBAdobe PDFView/Open
05_chapter 1.pdf1.24 MBAdobe PDFView/Open
06_chapter 2.pdf514.72 kBAdobe PDFView/Open
07_chapter 3.pdf2.96 MBAdobe PDFView/Open
08_chapter 4.pdf1.6 MBAdobe PDFView/Open
09_chapter 5.pdf3.32 MBAdobe PDFView/Open
10_chapter 6.pdf3.12 MBAdobe PDFView/Open
11_chapter 7.pdf45.56 kBAdobe PDFView/Open
12_annexures.pdf307.39 kBAdobe PDFView/Open
80_recommendation.pdf234.6 kBAdobe PDFView/Open


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