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@ARTICLE{Li:1014051,
      author       = {Li, Weihan and Samsukha, Harshvardhan and van Vlijmen,
                      Bruis and Yan, Lisen and Greenbank, Samuel and Onori, Simona
                      and Viswanathan, Venkat},
      title        = {{F}ast data augmentation for battery degradation
                      prediction},
      journal      = {Energy and AI},
      volume       = {21},
      issn         = {2666-5468},
      address      = {Amsterdam},
      publisher    = {Elsevier ScienceDirect},
      reportid     = {RWTH-2025-05887},
      pages        = {100542},
      year         = {2025},
      cin          = {619830 / 080070 / 618310},
      ddc          = {624},
      cid          = {$I:(DE-82)619830_20240726$ / $I:(DE-82)080070_20210623$ /
                      $I:(DE-82)618310_20140620$},
      pnm          = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
                      Aachen University (021000-OAPKF) / BMBF 03XP0585 - SPEED -
                      Schnelle Charakterisierung der Leistungsfähigkeit von
                      Lithium-Ionen-Batterien aus der Produktionslinie mit
                      maschinellem Lernen (03XP0585)},
      pid          = {G:(DE-82)021000-OAPKF / G:(BMBF)03XP0585},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001520582700001},
      doi          = {10.1016/j.egyai.2025.100542},
      url          = {https://publications.rwth-aachen.de/record/1014051},
}