Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data.

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dc.contributor.authorMagar, Rajendra
dc.date.accessioned2014-03-21T10:14:56Z
dc.date.available2014-03-21T10:14:56Z
dc.date.issued2012
dc.description.abstractReservoir 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).en_US
dc.identifier.citationPages 15.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/860
dc.language.isoen_USen_US
dc.publisherJournal of Hydrologyen_US
dc.subjectStaff Publication - SoETen_US
dc.subjectStaff Publication - CE
dc.titleMulti-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data.en_US
dc.typeArticleen_US
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