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Electricity demand prediction of large commercial buildings using support vector machine

By: Samarawickrama, N.G.Indika SujeewaContributor(s): Dr. K.T.M. Udayanga Hemapala [supervisor] | Dr. Buddhika Jayasekara [supervisor]Language: English Publisher: [2014]Description: xii, 97p. : ill. CD-ROM includedSubject(s): MSc in Industrial Automation | ELECTRICAL ENGINEERING -Thesis/Dissertation | INDUSTRIAL AUTOMATION -Thesis/Dissertation | COMMERCIAL BUILDINGS-Electricity demand | Support vector machinesOnline resources: Click here to access online Dissertation note: Faculty of Engineering University of Moratuwa Department of Electrical Engineering 2014
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Thesis Thesis Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well.
Thesis Collection
681.5(043) (Browse shelf) DEE 06/15 LB/DON/37/15 Not For Loan 108928

M.Sc. in Industrial Automation

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TH2843

Faculty of Engineering University of Moratuwa Department of Electrical Engineering 2014

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