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Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data

Published Online: 2024-08-14

Authors

Chen, Lingxuan

Wang, Zhaocai

Jiang, Ziang

Lin, Xiaolong
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2022YFB2403500)

Open Fund of Key Laboratory of Sediment Science and Northern River Training, the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research (IWHR-SEDI-2023-10)
License Information

Text and Data Mining valid from 2024-08-14

Version of Record valid from 2024-08-14
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Article History

Accepted: 21 June 2024

First Online: 14 August 2024

Declarations

:

: The authors declare no competing interests.

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