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@ARTICLE{Shin:1037649,
      author       = {Shin, Heesoo and Rüttgers, Mario and Lee, Sangseung},
      title        = {{E}ffects of spatiotemporal correlations in wind data on
                      neural network-based wind predictions},
      journal      = {Energy},
      volume       = {279},
      issn         = {0360-5442},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2025-00814},
      pages        = {128068},
      year         = {2023},
      cin          = {JSC},
      ddc          = {600},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / RAISE - Research on
                      AI- and Simulation-Based Engineering at Exascale (951733) /
                      HDS LEE - Helmholtz School for Data Science in Life, Earth
                      and Energy (HDS LEE) (HDS-LEE-20190612)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)951733 /
                      G:(DE-Juel1)HDS-LEE-20190612},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001025860900001},
      doi          = {10.1016/j.energy.2023.128068},
      url          = {https://juser.fz-juelich.de/record/1037649},
}