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Differential Machine Learning Model for Simulation of Water Supply Systems

dc.contributor.authorMota, Sara
dc.contributor.authorPereira, Tiago C.
dc.contributor.authorSousa, Ana Luís
dc.contributor.authorBrás, Marlene
dc.contributor.authorReis, Ana
dc.contributor.authorAndrade-Campos, António
dc.date.accessioned2026-08-20T21:04:48Z
dc.date.available2026-08-20T21:04:48Z
dc.date.copyright2025/07/10
dc.date.issued2025
dc.identifier.otherJWRMD5.WRENG-6698.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313917
dc.description.abstractAbstractAs the demand for essential resources like water and energy grows, the importance of their efficient management has never been greater. Traditional tools like decision support systems and hydraulic simulators such as EPANET have been employed to ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDifferential Machine Learning Model for Simulation of Water Supply Systems
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue9
dc.journal.titleJournal of Water Resources Planning and Management
dc.identifier.doi10.1061/JWRMD5.WRENG-6698
dc.journal.fristpage04025044-1
dc.journal.lastpage04025044-24
dc.page24
dc.treeJournal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 009
dc.contenttypeFulltext


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