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Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine

Published Online: 2025-01-03

Published Print: 2025-01

Authors

Qin, Xiwen

Yuan, Liping

Dong, Xiaogang

Zhang, Siqi

Shi, Hongyu
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (12026430)

Science and Technology Department Project of Jilin Province (20210101149JC, 20200403182SF)

National Social Science Fund of China (23BTJ047)
License Information

Text and Data Mining valid from 2025-01-01

Version of Record valid from 2025-01-01
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Article History

Received: 31 August 2024

Accepted: 18 October 2024

First Online: 3 January 2025

Declarations

:

: The authors declare no competing interests.

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