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Physics informed machine learning for wind speed prediction.

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Title: Physics informed machine learning for wind speed prediction.
Authors: Lagomarsino-Oneto, Daniele1, Meanti, Giacomo2, Pagliana, Nicolò3, Verri, Alessandro2, Mazzino, Andrea1,4, Rosasco, Lorenzo2,5,6, Seminara, Agnese1, agnese.seminara@unige.it
Source: Energy; Apr2023, Vol. 268, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 162061715
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Physics informed machine learning for wind speed prediction.
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  Data: <searchLink fieldCode="JN" term="%22Energy%22">Energy</searchLink>; Apr2023, Vol. 268, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=162061715
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.energy.2023.126628
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      – Code: eng
        Text: English
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      – TitleFull: Physics informed machine learning for wind speed prediction.
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            NameFull: Lagomarsino-Oneto, Daniele
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            NameFull: Meanti, Giacomo
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            NameFull: Pagliana, Nicolò
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            NameFull: Verri, Alessandro
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            NameFull: Mazzino, Andrea
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            NameFull: Rosasco, Lorenzo
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            – D: 01
              M: 04
              Text: Apr2023
              Type: published
              Y: 2023
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              Value: 268
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