Publication:

A taxonomy of short-term solar power forecasting: Classifications focused on climatic conditions and input data

Date

2023-05
Journal Article Review
https://doi.org/10.1049/rpg2.12736
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dc.contributor.authorBazionis, Ioannis K.
dc.contributor.authorKousounadis-Knousen, Markos A.
dc.contributor.authorGeorgilakis, Pavlos S.
dc.contributor.authorShirazi, Elham
dc.contributor.authorSoudris, Dimitrios
dc.contributor.authorCatthoor, Francky
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.date.accessioned2023-07-25T11:24:10Z
dc.date.available2023-06-12T20:09:59Z
dc.date.available2023-06-13T13:37:53Z
dc.date.available2023-07-25T11:24:10Z
dc.date.embargo2023-07-31
dc.date.issued2023-05
dc.description.wosFundingTextACKNOWLEDGEMENTS This research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH-CREATE-INNOVATE (project code:T2EDK-00864).
dc.identifier.doi10.1049/rpg2.12736
dc.identifier.issn1752-1416
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41724
dc.publisherINST ENGINEERING TECHNOLOGY-IET
dc.source.beginpage2411
dc.source.endpage2432
dc.source.issueMay
dc.source.journalIET RENEWABLE POWER GENERATION
dc.source.numberofpages22
dc.source.volumeonline
dc.subject.keywordsEXTREME LEARNING-MACHINE
dc.subject.keywordsNEURAL-NETWORK
dc.subject.keywordsMODEL
dc.subject.keywordsOUTPUT
dc.subject.keywordsGENERATION
dc.subject.keywordsRADIATION
dc.subject.keywordsSTRATEGY
dc.title

A taxonomy of short-term solar power forecasting: Classifications focused on climatic conditions and input data

dc.typeJournal article review
dspace.entity.typePublication
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