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Neural network based inflow forecasting for optimum pond operation of a run-of-river type hydro plant

By: Wimalaratne, Miyanakolatanne Hewage DhammikeContributor(s): Dr. Lidula N. Widanagama Arachchige [supervisor] | Eng. W.J.L. Shavindranath Fernando [supervisor]Language: English Publisher: [2020]Description: x, 90p. : col. charts, col. ill., tables, CD-ROM includedSubject(s): ELECTRICAL ENGINEERING-Dissertations | ARTIFICIAL NEURAL NETWORKS | DYNAMIC NEURAL NETWORKS | NONLINEAR AUTOREGRESSIVE EXOGENOUS MODEL | MULTI-OBJECTIVE GLOBAL OPTIMIZATION | CROSS CORRELATION ANALYSIS | HYDROELECTRIC POWER PLANTS-Inflow Forecast | TIME SERIES FORECASTING | UPPER KOTMALE POWER STATION | MSc in Electrical EngineeringOnline resources: Click here to access online Dissertation note: Department of Electrical Engineering Faculty of Engineering University of Moratuwa 2020
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Thesis Thesis Library, University of Moratuwa
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Thesis Collection
621.3(043) (Browse shelf) DEE 05/232 LB/DON/58/2020 Available TH4234

M.Sc. in Electrical Engineering

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Department of Electrical Engineering Faculty of Engineering University of Moratuwa 2020

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