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    Usage of Multisource Data through Transfer Learning to Improve Short-Term Water Demand Forecasting

    Source: Journal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 010::page 04025053-1
    Author:
    Li, Zilin
    ,
    Liu, Guoxuan
    ,
    Liu, Haixing
    ,
    Savic, Dragan
    ,
    Fu, Guangtao
    DOI: 10.1061/JWRMD5.WRENG-6950
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate short-term water demand forecasting is essential for the operational management of water distribution systems. Previous research on the use of machine learning approaches to improve predictive accuracy has tackled issues of model ...
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      Usage of Multisource Data through Transfer Learning to Improve Short-Term Water Demand Forecasting

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4313943
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    contributor authorLi, Zilin
    contributor authorLiu, Guoxuan
    contributor authorLiu, Haixing
    contributor authorSavic, Dragan
    contributor authorFu, Guangtao
    date accessioned2026-08-20T21:05:49Z
    date available2026-08-20T21:05:49Z
    date copyright2025/08/05
    date issued2025
    identifier otherJWRMD5.WRENG-6950.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313943
    description abstractAbstractAccurate short-term water demand forecasting is essential for the operational management of water distribution systems. Previous research on the use of machine learning approaches to improve predictive accuracy has tackled issues of model ...
    publisherAmerican Society of Civil Engineers
    titleUsage of Multisource Data through Transfer Learning to Improve Short-Term Water Demand Forecasting
    typeJournal Article
    journal volume151
    journal issue10
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/JWRMD5.WRENG-6950
    journal fristpage04025053-1
    journal lastpage04025053-13
    page13
    treeJournal of Water Resources Planning and Management:;2025:;Volume ( 151 ):;issue: 010
    contenttypeFulltext
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