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Deep Learning-Based Water Level Prediction Model Inspired by Integrator Delay
更新时间:2025-12-29
    • Deep Learning-Based Water Level Prediction Model Inspired by Integrator Delay

    • “In the field of safe operation of hydropower stations, researchers have proposed a physics inspired water level prediction model PHM, which effectively improves prediction accuracy and provides guarantees for the safe operation of hydropower stations.”
    • PEARL RIVER   Vol. 46, Issue 11, Pages: 91-99(2025)
    • DOI:10.3969/j.issn.1001-9235.2025.11.011    

      CLC: TV737
    • Received:14 May 2025,

      Revised:2025-06-07,

      Accepted:10 June 2025,

      Published Online:02 July 2025,

      Published:25 November 2025

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  • LUO Wei,WU Jiahao,CHEN Lingqiang,et al.Deep Learning-Based Water Level Prediction Model Inspired by Integrator Delay[J].PEARL RIVER,2025,46(11):91-99. DOI: 10.3969/j.issn.1001-9235.2025.11.011.

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Related Author

XU Jiangtao
TAN Min
WANG Lizhi
LEI Xiaohui
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Related Institution

China Energy Group Big Data Service Co., Ltd
Research Center for Water Resources and Environment, Sun Yat-sen University
School of Civil Engineering, Sun Yat-sen University
Guangdong Provincial Hydrological Bureau, Foshan Hydrological Sub-bureau
School of Geography and Planning, Sun Yat-sen University
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