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@ARTICLE{Hoffmann:907697,
      author       = {Hoffmann, Maximilian and Kotzur, Leander and Stolten,
                      Detlef},
      title        = {{T}he {P}areto-optimal temporal aggregation of energy
                      system models},
      journal      = {Applied energy},
      volume       = {315},
      issn         = {0306-2619},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2022-02166},
      pages        = {119029 -},
      year         = {2022},
      abstract     = {The growing share of intermittent renewable energy sources,
                      storage technologies, and the increasing degree of so-called
                      sector coupling necessitates optimization-based energy
                      system models with high temporal and spatial resolutions,
                      which significantly increases their runtimes and limits
                      their maximum sizes. In order to maintain the computational
                      viability of these models for large-scale application cases,
                      temporal aggregation has emerged as a technique for reducing
                      the number of considered time steps by reducing the original
                      time horizon down to fewer, more representative ones.},
      cin          = {IEK-3},
      ddc          = {620},
      cid          = {I:(DE-Juel1)IEK-3-20101013},
      pnm          = {1111 - Effective System Transformation Pathways (POF4-111)
                      / 1112 - Societally Feasible Transformation Pathways
                      (POF4-111)},
      pid          = {G:(DE-HGF)POF4-1111 / G:(DE-HGF)POF4-1112},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000793663600002},
      doi          = {10.1016/j.apenergy.2022.119029},
      url          = {https://juser.fz-juelich.de/record/907697},
}