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Improving the accuracy of daily runoff prediction using informer with black kite algorithm, variational mode decomposition, and error correction strategy

Crossref DOI link: https://doi.org/10.1007/s00477-025-02945-x

Published Online: 2025-02-28

Published Print: 2025-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wang, Wen-chuan

Ren, Hong-zhen

Li, Zong

Zhao, Yan-wei

Hu, Xiao-xue

Gu, Miao
Funding

Funding for this research was provided by:

The support of the special project for collaborative innovation of science and technology in 2021 (202121206)
License Information

Text and Data Mining valid from 2025-02-28

Version of Record valid from 2025-02-28
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Article History

Accepted: 19 February 2025

First Online: 28 February 2025

Declarations

:

: The authors declare no competing interests.

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