h1

h2

h3

h4

h5
h6
000962514 001__ 962514
000962514 005__ 20230731172107.0
000962514 0247_ $$2ISSN$$a0360-5442
000962514 0247_ $$2ISSN$$a1873-6785
000962514 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85162108167
000962514 0247_ $$2WOS$$aWOS:001025860900001
000962514 0247_ $$2doi$$a10.1016/j.energy.2023.128068
000962514 037__ $$aRWTH-2023-07433
000962514 041__ $$aEnglish
000962514 082__ $$a600
000962514 1001_ $$00000-0003-2860-1441$$aShin, Heesoo$$b0
000962514 245__ $$aEffects of spatiotemporal correlations in wind data on neural network-based wind predictions$$honline, print
000962514 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2023
000962514 3367_ $$00$$2EndNote$$aJournal Article
000962514 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
000962514 3367_ $$2BibTeX$$aARTICLE
000962514 3367_ $$2DRIVER$$aarticle
000962514 3367_ $$2DataCite$$aOutput Types/Journal article
000962514 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000962514 588__ $$aDataset connected to CrossRef, Journals: publications.rwth-aachen.de
000962514 591__ $$aGermany
000962514 591__ $$aSouth Korea
000962514 7001_ $$0P:(DE-82)IDM04827$$aRüttgers, Mario$$b1$$urwth
000962514 7001_ $$00000-0001-7341-8289$$aLee, Sangseung$$b2$$eCorresponding author
000962514 773__ $$0PERI:(DE-600)2019804-8$$a10.1016/j.energy.2023.128068$$p128068$$tEnergy : the international journal$$v279$$x1873-6785$$y2023
000962514 909CO $$ooai:publications.rwth-aachen.de:962514$$pVDB
000962514 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM04827$$aRWTH Aachen$$b1$$kRWTH
000962514 9141_ $$y2023
000962514 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
000962514 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bENERGY : 2021$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2022-11-05$$wger
000962514 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2022-11-05
000962514 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bENERGY : 2021$$d2022-11-05
000962514 9201_ $$0I:(DE-82)080031_20200305$$k080031$$lJARA-CSD (Center for Simulation and Data Science)$$x0
000962514 9201_ $$0I:(DE-82)415110_20140620$$k415110$$lLehrstuhl für Strömungslehre und Aerodynamisches Institut$$x1
000962514 9201_ $$0I:(DE-82)080003_20140620$$k080003$$lAachen Institute for Advanced Study in Computational Engineering Science$$x2
000962514 961__ $$c2023-07-31T10:59:36.266335$$x2023-07-31T10:59:36.266335$$z2023-07-31T10:59:36.266335
000962514 980__ $$aI:(DE-82)080003_20140620
000962514 980__ $$aI:(DE-82)080031_20200305
000962514 980__ $$aI:(DE-82)415110_20140620
000962514 980__ $$aUNRESTRICTED
000962514 980__ $$aVDB
000962514 980__ $$ajournal