A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting
Crossref DOI link: https://doi.org/10.1007/s11356-022-22959-0
Published Online: 2022-09-13
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yang, Shaomei
Yuan, Aijia http://orcid.org/0000-0002-0329-7757
Yu, Zhengqin
Text and Data Mining valid from 2022-09-13
Version of Record valid from 2022-09-13
Article History
Received: 28 May 2022
Accepted: 5 September 2022
First Online: 13 September 2022
Declarations
:
: Not applicable.
: The authors declare no competing interests.