1. Shodhganga@INFLIBNET
  2. Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
  3. Department of Computer Science & Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/148499
Title: Application of artificial intelligence techniques for electric load forecasting
Researcher: Kumaran, Kumar J
Guide(s): Ravi, G
Keywords: Artificial intelligence techniques
Electric load forecasting
University: Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
Completed Date: 2015
Abstract: File attached
Pagination: 120 p.
URI: http://hdl.handle.net/10603/148499
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
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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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