Publication:

A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests

Date

2024
Journal article
https://doi.org/10.1016/j.apenergy.2024.122900
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dc.contributor.authorJonkers, Jef
dc.contributor.authorNieves Avendano, Diego
dc.contributor.authorVan Wallendael, Glenn
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.imecauthorVan Wallendael, Glenn
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.imecauthorNieves Avendano, Diego
dc.contributor.orcidimecVan Wallendael, Glenn::0000-0001-9530-3466
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.contributor.orcidimecNieves Avendano, Diego::0000-0001-6215-6439
dc.date.accessioned2024-05-13T13:55:32Z
dc.date.available2024-04-14T16:53:35Z
dc.date.available2024-04-15T11:01:12Z
dc.date.available2024-05-13T13:55:32Z
dc.date.embargo2024-02-21
dc.date.issued2024
dc.description.wosFundingTextPart 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.
dc.identifier.doi10.1016/j.apenergy.2024.122900
dc.identifier.issn0306-2619
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43826
dc.publisherELSEVIER SCI LTD
dc.source.beginpageArt. 122900
dc.source.endpageN/A
dc.source.issueN/A
dc.source.journalAPPLIED ENERGY
dc.source.numberofpages18
dc.source.volume26
dc.subject.keywordsPREDICTION
dc.title

A novel day-ahead regional and probabilistic wind power forecasting framework using deep CNNs and conformalized regression forests

dc.typeJournal article
dspace.entity.typePublication
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