dc.contributor.author | Jonkers, Jef | |
dc.contributor.author | Nieves Avendano, Diego | |
dc.contributor.author | Van Wallendael, Glenn | |
dc.contributor.author | Van Hoecke, Sofie | |
dc.date.accessioned | 2024-05-13T13:55:32Z | |
dc.date.available | 2024-04-14T16:53:35Z | |
dc.date.available | 2024-04-15T11:01:12Z | |
dc.date.available | 2024-05-13T13:55:32Z | |
dc.date.issued | 2024 | |
dc.identifier.issn | 0306-2619 | |
dc.identifier.other | WOS:001197784500001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/43826.3 | |
dc.source | WOS | |
dc.title | A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests | |
dc.type | Journal article | |
dc.contributor.imecauthor | Van Wallendael, Glenn | |
dc.contributor.imecauthor | Van Hoecke, Sofie | |
dc.contributor.imecauthor | Nieves Avendano, Diego | |
dc.contributor.orcidimec | Van Wallendael, Glenn::0000-0001-9530-3466 | |
dc.contributor.orcidimec | Van Hoecke, Sofie::0000-0002-7865-6793 | |
dc.contributor.orcidimec | Nieves Avendano, Diego::0000-0001-6215-6439 | |
dc.date.embargo | 9999-12-31 | |
dc.identifier.doi | 10.1016/j.apenergy.2024.122900 | |
dc.source.numberofpages | 18 | |
dc.source.peerreview | yes | |
dc.source.beginpage | Art. 122900 | |
dc.source.endpage | N/A | |
dc.source.journal | APPLIED ENERGY | |
dc.source.issue | N/A | |
dc.source.volume | 26 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | Part of this work was funded by the Flanders AI Research Program, Belgium and the COOCK Smart Ports 2025 project. COOCK Smart Ports 2025 is a project financed by VLAIO, Belgium that aims to transfer knowledge via pilot projects, whereas the Flanders AI Research Program is financed by the Flemish Government, Belgium. | |