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@ARTICLE{Tillmanns:1020703,
      author       = {Tillmanns, Marius and Schöttler, Johannes Alois and
                      Praktiknjo, Aaron Jonathan},
      title        = {{A} review of probabilistic resource adequacy assessments
                      in power systems: {M}ethods, applications, and future
                      challenges},
      journal      = {Energy policy},
      volume       = {209},
      number       = {Part A},
      issn         = {1873-6777},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {RWTH-2025-09188},
      pages        = {114924},
      year         = {2026},
      note         = {Received 31 March 2025, Revised 10 August 2025, Accepted 11
                      October 2025, Available online 1 November 2025},
      subtyp        = {Review Article},
      cin          = {817310},
      ddc          = {620},
      cid          = {$I:(DE-82)817310_20210128$},
      pnm          = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
                      Aachen University (021000-OAPKF) / BMWE 03EI1101A -
                      Verbundvorhaben: $KIVi_Antelopes$ - Künstliche Intelligenz
                      bei der Untersuchung der Versorgungssicherheit mit
                      Elektrizität: Angewandte Metamodellierung für die robuste
                      Optimierung der Resilienz und Adäquanz sektorengekoppelter
                      hochkomplexer Energiesysteme; Teilvorhaben:
                      Versorgungssicherheitsbewertung (03EI1101A)},
      pid          = {G:(DE-82)021000-OAPKF / G:(BMWE)03EI1101A},
      typ          = {PUB:(DE-HGF)16 / PUB:(DE-HGF)7},
      UT           = {WOS:001610705600001},
      doi          = {10.1016/j.enpol.2025.114924},
      url          = {https://publications.rwth-aachen.de/record/1020703},
}