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contributor authorMota, Sara
contributor authorPereira, Tiago C.
contributor authorSousa, Ana Luís
contributor authorBrás, Marlene
contributor authorReis, Ana
contributor authorAndrade-Campos, António
date accessioned2026-08-20T21:04:48Z
date available2026-08-20T21:04:48Z
date copyright2025/07/10
date issued2025
identifier otherJWRMD5.WRENG-6698.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313917
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 ...
publisherAmerican Society of Civil Engineers
titleDifferential Machine Learning Model for Simulation of Water Supply Systems
typeJournal Article
journal volume151
journal issue9
journal titleJournal of Water Resources Planning and Management
identifier doi10.1061/JWRMD5.WRENG-6698
journal fristpage04025044-1
journal lastpage04025044-24
page24
treeJournal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 009
contenttypeFulltext


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