Machine learning-based short-term solar power forecasting: a comparison between regression and classification approaches using extensive Australian dataset
Crossref DOI link: https://doi.org/10.1186/s40807-024-00115-1
Published Online: 2024-08-04
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Aouidad, H. I.
Bouhelal, A.
Text and Data Mining valid from 2024-08-04
Version of Record valid from 2024-08-04
Article History
Received: 4 December 2023
Accepted: 28 May 2024
First Online: 4 August 2024
Declarations
:
: Not applicable.
: The authors declare that they have no competing interests.