Short term wind speed prediction based on CEESMDAN and improved seagull optimization kernel extreme learning machine
Authors:
- 3 January 2025
- journal article
- research article
- Published by Springer Nature in Earth Science Informatics
- Vol. 18 (1) , 1-33
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (12026430)
- Science and Technology Department project of Jilin Province (20210101149JC, 20200403182SF)
- National Social Science Fund of China (23BTJ047)
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