Wind speed and global radiation forecasting based on differential, deep and stochastic machine learning of patterns in 2-level historical meteo-quantity sets
Crossref DOI link: https://doi.org/10.1007/s40747-022-00879-3
Published Online: 2022-10-15
Published Print: 2023-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zjavka, Ladislav https://orcid.org/0000-0002-2881-4319
Text and Data Mining valid from 2022-10-15
Version of Record valid from 2022-10-15
Article History
Received: 28 February 2022
Accepted: 20 September 2022
First Online: 15 October 2022