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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(s): Li, Zilin; Liu, Guoxuan; Liu, Haixing; Savic, Dragan; Fu, Guangtao
    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 ...
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    Quantifying Uncertainties in Extreme Flood Predictions under Climate Change for a Medium-Sized Basin in Northeastern China 

    Source: Journal of Hydrometeorology:;2016:;Volume( 017 ):;issue: 012:;page 3099
    Author(s): Qi, Wei; Zhang, Chi; Fu, Guangtao; Zhou, Huicheng; Liu, Junguo
    Publisher: American Meteorological Society
    Abstract: his study develops a new variance-based uncertainty assessment framework to investigate the individual and combined impacts of various uncertainty sources on future extreme floods. The Long Ashton Research Station Weather ...
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    Optimization of Surface Systems in Mature Oilfields with High Water Content 

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 003:;page 04025026-1
    Author(s): Li, Yufeng; Li, Wei; Qiu, Weiwei; Pan, Shiyuan; Xu, Ning; Fu, Guangtao; Li, Zhuochao; Guo, Yi; Liang, Yongtu
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper investigates the optimization and renovation of surface systems in mature oilfields. To address challenges such as facility load imbalance, low operational efficiency, excessive energy consumption, and ...
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