Deep learning models for multi-step prediction of water levels incorporating meteorological variables and historical data-Reference-Cited by-同舟云学术

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

Published:2024-08-14 Issue: Volume: Page:
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Chen Lingxuan,Wang Zhaocai,Jiang Ziang,Lin Xiaolong

Funder

National Key Research and Development Program of China

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

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00477-024-02766-4.pdf

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