Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/32139
Title: Artificial intelligence techniques for inflow forecasting and optimal operation of reservoir system
Researcher: Vincent alias venkatesan P
Guide(s): Ambujam N K
Keywords: civil engineering
inflow forecasting
reservoir system
Upload Date: 1-Jan-2015
University: Anna University
Completed Date: 01/09/2005
Abstract: Though forecasting of river flow has received maximum attention newlinefrom engineers and researchers throughout the world yet it continues to be a newlinechallenging task owing to the complex process The need for timely and newlineaccurate stream flow forecasting is widely recognized all over the world newlineTraditional methods of relating the temporal and spatial history of newlineprecipitation to a corresponding streamflow discharge at a point of interest are newlinemany and varied The present study aims at developing an inflow forecast newlinemodel for Pilavakkal scheme consisting of two reservoirs namely Periyar and newlineKovilar located in southern part of Tamil Nadu India In the last one decade newlineor so Artificial Neural Network ANN has been widely applied and its newlineability to model complex phenomena is clearly demonstrated newline newline
Pagination: xxviii, 207p.
URI: http://hdl.handle.net/10603/32139
Appears in Departments:Faculty of Civil Engineering

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02_certificate.pdf5.68 kBAdobe PDFView/Open
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04_acknowledgement.pdf6.96 kBAdobe PDFView/Open
05_contents.pdf55.71 kBAdobe PDFView/Open
06_chapter 1.pdf62.76 kBAdobe PDFView/Open
07_chapter 2.pdf476.99 kBAdobe PDFView/Open
08_chapter 3.pdf851.92 kBAdobe PDFView/Open
09_chapter 4.pdf693.63 kBAdobe PDFView/Open
10_chapter 5.pdf318.86 kBAdobe PDFView/Open
11_chapter 6.pdf27.14 kBAdobe PDFView/Open
12_references.pdf51.68 kBAdobe PDFView/Open
13_publications.pdf11.53 kBAdobe PDFView/Open
14_vitae.pdf6.07 kBAdobe PDFView/Open
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