Machine learning for renewable energy forecasting: advances, challenges, and future directions
Crossref DOI link: https://doi.org/10.1186/s40807-026-00242-x
Published Online: 2026-04-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Malakouti, Matin
Text and Data Mining valid from 2026-04-09
Version of Record valid from 2026-04-09
Article History
Received: 8 July 2025
Accepted: 19 February 2026
First Online: 9 April 2026
Declarations
:
: Not applicable.
: All authors declare that they have no competing interests.