Publication:

An Advanced Hybrid Boot-LSTM-ICSO-PP Approach for Day-Ahead Probabilistic PV Power Yield Forecasting and Intra-Hour Power Fluctuation Estimation

Date

2024
Journal article
https://doi.org/10.1109/ACCESS.2024.3381049
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dc.contributor.authorBazionis, Ioannis K.
dc.contributor.authorKousounadis-Knousen, Markos A.
dc.contributor.authorKatsigiannis, Vasileios E.
dc.contributor.authorCatthoor, Francky
dc.contributor.authorGeorgilakis, Pavlos S.
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.date.accessioned2024-08-29T13:40:41Z
dc.date.available2024-04-07T18:16:58Z
dc.date.available2024-08-29T13:40:41Z
dc.date.embargo2024-03-22
dc.date.issued2024
dc.description.wosFundingTextNo Statement Available
dc.identifier.doi10.1109/ACCESS.2024.3381049
dc.identifier.issn2169-3536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43793
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage43704
dc.source.endpage43720
dc.source.issueN/A
dc.source.journalIEEE ACCESS
dc.source.numberofpages17
dc.source.volume12
dc.title

An Advanced Hybrid Boot-LSTM-ICSO-PP Approach for Day-Ahead Probabilistic PV Power Yield Forecasting and Intra-Hour Power Fluctuation Estimation

dc.typeJournal article
dspace.entity.typePublication
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