Adaptive stochastic management of the storage function for a large, open reservoir using learned fuzzy models

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dc.contributor.authorKozel, Tomášcs
dc.contributor.authorStarý, Milošcs
dc.coverage.issue2cs
dc.coverage.volume70cs
dc.date.accessioned2022-08-11T14:52:13Z
dc.date.available2022-08-11T14:52:13Z
dc.date.issued2022-06-01cs
dc.description.abstractThe design and evaluation of algorithms for adaptive stochastic control of the reservoir function of a water reservoir using an artificial intelligence method (learned fuzzy model) are described in this article. This procedure was tested on the Vranov reservoir (Czech Republic). Stochastic model results were compared with the results of deterministic management obtained using the method of classical optimisation (differential evolution). The models used for controlling of reservoir outflow used single quantile from flow duration curve values or combinations of quantile values from flow duration curve for determination of controlled outflow. Both methods were also tested on forecast data from real series (100% forecast). Finally, the results of the dispatcher graph, adaptive deterministic control and adaptive stochastic control were compared. Achieved results of adaptive stochastic management were better than results provided by dispatcher graph and provide inspiration for continuing research in the fielden
dc.formattextcs
dc.format.extent213-221cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationJournal of Hydrology and Hydromechanics. 2022, vol. 70, issue 2, p. 213-221.en
dc.identifier.doi10.2478/johh-2022-0010cs
dc.identifier.issn0042-790Xcs
dc.identifier.other178574cs
dc.identifier.urihttp://hdl.handle.net/11012/208230
dc.language.isoencs
dc.publisherSciendocs
dc.relation.ispartofJournal of Hydrology and Hydromechanicscs
dc.relation.urihttps://www.sciendo.com/article/10.2478/johh-2022-0010cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0042-790X/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectStochasticen
dc.subjectArtificial intelligenceen
dc.subjectStorage functionen
dc.subjectOptimisation.en
dc.titleAdaptive stochastic management of the storage function for a large, open reservoir using learned fuzzy modelsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-178574en
sync.item.dbtypeVAVen
sync.item.insts2023.02.14 12:52:54en
sync.item.modts2023.02.14 12:14:43en
thesis.grantorVysoké učení technické v Brně. Fakulta stavební. Ústav vodního hospodářství krajinycs
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