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Effects of spatiotemporal correlations in wind data on neural network-based wind predictions

; ;

In
Energy : the international journal 279, Seiten/Artikel-Nr.:128068

ImpressumAmsterdam [u.a.] : Elsevier Science

ISSN1873-6785

Online
DOI: 10.1016/j.energy.2023.128068


Einrichtungen

  1. JARA-CSD (Center for Simulation and Data Science) (080031)
  2. Lehrstuhl für Strömungslehre und Aerodynamisches Institut (415110)
  3. Aachen Institute for Advanced Study in Computational Engineering Science (080003)


Thematische Einordnung (Klassifikation)
DDC: 600


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85162108167
WOS Core Collection: WOS:001025860900001

Interne Identnummern
RWTH-2023-07433
Datensatz-ID: 962514

Beteiligte Länder
Germany, South Korea

 GO

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mechanical Engineering (Fac.4)
Central and Other Institutions
Public records
Publications database
080003
080031
415110
 Record created 2023-07-31, last modified 2023-07-31
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