Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/148499
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DC FieldValueLanguage
dc.coverage.spatialComputer science and engineering
dc.date.accessioned2017-05-08T10:49:26Z-
dc.date.available2017-05-08T10:49:26Z-
dc.identifier.urihttp://hdl.handle.net/10603/148499-
dc.description.abstractFile attached
dc.format.extent120 p.
dc.languageEnglish
dc.relationno. of references 94
dc.rightsuniversity
dc.titleApplication of artificial intelligence techniques for electric load forecasting
dc.title.alternative-
dc.creator.researcherKumaran, Kumar J
dc.subject.keywordArtificial intelligence techniques
dc.subject.keywordElectric load forecasting
dc.description.notebibliography p.113-120
dc.contributor.guideRavi, G
dc.publisher.placeKanchipuram
dc.publisher.universitySri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registeredn.d.
dc.date.completed2015
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File60.7 kBAdobe PDFView/Open
02_certificate.pdf58.1 kBAdobe PDFView/Open
03_declaration.pdf58.11 kBAdobe PDFView/Open
04_acknowledgement.pdf59.46 kBAdobe PDFView/Open
05_abstract.pdf61.67 kBAdobe PDFView/Open
06_content.pdf134.63 kBAdobe PDFView/Open
07_table.pdf82.73 kBAdobe PDFView/Open
08_figure.pdf113.44 kBAdobe PDFView/Open
09_symbols.pdf225.84 kBAdobe PDFView/Open
10_chapter 1.pdf185.95 kBAdobe PDFView/Open
11_chapter 2.pdf220.18 kBAdobe PDFView/Open
12_chapter 3.pdf220.95 kBAdobe PDFView/Open
13_chapter 4.pdf1.2 MBAdobe PDFView/Open
14_chapter 5.pdf382.97 kBAdobe PDFView/Open
15_chapter 6.pdf96.39 kBAdobe PDFView/Open
16_reference.pdf96.41 kBAdobe PDFView/Open
17_publication.pdf42.87 kBAdobe PDFView/Open


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