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Energy generation forecasting: elevating performance with machine and deep learning.

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Title: Energy generation forecasting: elevating performance with machine and deep learning.
Authors: Mystakidis, Aristeidis1,2, Ntozi, Evangelia1, Afentoulis, Konstantinos1, Koukaras, Paraskevas1,2, Gkaidatzis, Paschalis1, Ioannidis, Dimosthenis1, Tjortjis, Christos1,2, c.tjortjis@ihu.edu.gr, Tzovaras, Dimitrios1
Source: Computing; Aug2023, Vol. 105 Issue 8, p1623-1645, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 164875589
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Energy generation forecasting: elevating performance with machine and deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Computing%22">Computing</searchLink>; Aug2023, Vol. 105 Issue 8, p1623-1645, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=164875589
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      – Type: doi
        Value: 10.1007/s00607-023-01164-y
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        Text: English
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      – TitleFull: Energy generation forecasting: elevating performance with machine and deep learning.
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              Text: Aug2023
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              Y: 2023
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