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Forecasting electrical energy demand of Sri Lanka : genetic algorithms based approach

By: Bamaravanage, D.Y.T.
Contributor(s): Dr. Lanka Udawatta [supervisor].
Publisher: [2005]Description: vi, 88p. : ill., graphs, tables.Subject(s): MEng in Electrical Engineering | ELECTRICAL ENGINEERING-THESIS | THESIS-ELECTRICAL ENGINEERING | ALGORITHMS | ELECTRICAL ENERGY-Sri LankaOnline resources: Click here to access online Dissertation note: Department of Electrical Engineering Faculty of Engineering University of Moratuwa 2005
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Item type Current location Call number Shelving Number Status Date due Barcode Item holds Course reserves
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
621.3(043) (Browse shelf) EE 01/38 Not For Loan 85961

M.Eng. in Electrical Engineering

Total holds: 0

TH1174

Department of Electrical Engineering Faculty of Engineering University of Moratuwa 2005

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