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dc.contributor.authorGeorgakakos, Aris P.en_US
dc.date.accessioned2010-09-14T11:42:25Z
dc.date.available2010-09-14T11:42:25Z
dc.date.issued1987en_US
dc.identifier.other336129en_US
dc.identifier.urihttp://hdl.handle.net/1853/34643
dc.descriptionIssued as Progress reports [nos. 1-2], and Final report, Project no. E-20-655en_US
dc.descriptionFinal report has title: A stochastic control method for hydropower schedulingen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesSchool of Civil Engineering ; Project no. E-20-655en_US
dc.subject.lcshFlood forecasting Mathematical modelsen_US
dc.subject.lcshFlood forecasting Data processingen_US
dc.subject.lcshPrecipitation forecasting Mathematical modelsen_US
dc.subject.lcshPrecipitation forecasting Data processingen_US
dc.subject.lcshRainfall probabilities Mathematical modelsen_US
dc.subject.lcshRainfall probabilities Data processingen_US
dc.subject.lcshHydrologic modelsen_US
dc.titleOptimal real-time of hydropower systemsen_US
dc.title.alternativeA stochastic control method for hydropower schedulingen_US
dc.typeTechnical Reporten_US
dc.contributor.corporatenameGeorgia Institute of Technology. Office of Sponsored Programsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Civil Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Office of Sponsored Programs


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