YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Water Resources Planning and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Differential Machine Learning Model for Simulation of Water Supply Systems

    Source: Journal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 009::page 04025044-1
    Author:
    Mota, Sara
    ,
    Pereira, Tiago C.
    ,
    Sousa, Ana Luís
    ,
    Brás, Marlene
    ,
    Reis, Ana
    ,
    Andrade-Campos, António
    DOI: 10.1061/JWRMD5.WRENG-6698
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAs 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 ...
    • Download: (3.296Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Differential Machine Learning Model for Simulation of Water Supply Systems

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313917
    Collections
    • Journal of Water Resources Planning and Management

    Show full item record

    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
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian