Please use this identifier to cite or link to this item: http://www.aiktcdspace.org:8080/jspui/handle/123456789/860
Title: Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data.
Authors: Magar, Rajendra
Keywords: Staff Publication - SoET
Staff Publication - CE
Issue Date: 2012
Publisher: Journal of Hydrology
Citation: Pages 15.
Abstract: Reservoir inflow forecast is a key component in planning development, design, operation and maintenance of the available water resources. Inflow forecast models are useful in many water resources applications such as flood control, drought management, optimal reservoir operation, hydropower generation (Yeh, 1985).
URI: http://hdl.handle.net/123456789/860
Appears in Collections:Publications - CE

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