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A nature-inspired and noise-assisted feature extraction integrating spatiotemporal attention-based sequence2sequence for multivariate wind speed prediction

Crossref DOI link: https://doi.org/10.1007/s00477-024-02866-1

Published Online: 2024-11-27

Published Print: 2025-01

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

Authors

Sibtain, Muhammad

Li, Xianshan

Saleem, Snoober

Qurat-ul-Ain,

Shi, Qiang

Li, Fei

Apaydin, Halit https://orcid.org/0000-0002-9875-7321
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Text and Data Mining valid from 2024-11-27

Version of Record valid from 2024-11-27
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Article History

Accepted: 10 November 2024

First Online: 27 November 2024

Declarations

:

: The authors declare no competing interests.

: Ethics approval was not required for this study.

: There were no human or animal participants in the study.

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