MSTL-NNAR: a new hybrid model of machine learning and time series decomposition for wind speed forecasting
Crossref DOI link: https://doi.org/10.1007/s00477-024-02701-7
Published Online: 2024-03-26
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Elseidi, Mohammed
Text and Data Mining valid from 2024-03-26
Version of Record valid from 2024-03-26
Article History
Accepted: 28 February 2024
First Online: 26 March 2024
Declarations
:
: The authors declare no Conflict of interest.