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@ARTICLE{Weber:872567,
      author       = {Weber, Juliane and Reyers, Mark and Beck, Christian and
                      Timme, Marc and Pinto, Joaquim G. and Witthaut, Dirk and
                      Schäfer, Benjamin},
      title        = {{W}ind power persistence characterized by superstatistics},
      journal      = {Scientific reports},
      volume       = {9},
      number       = {1},
      issn         = {2045-2322},
      address      = {[London]},
      publisher    = {Macmillan Publishers Limited, part of Springer Nature},
      reportid     = {FZJ-2020-00073},
      pages        = {19971},
      year         = {2019},
      abstract     = {Mitigating climate change demands a transition towards
                      renewable electricity generation, with wind power being a
                      particularly promising technology. Long periods either of
                      high or of low wind therefore essentially define the
                      necessary amount of storage to balance the power system.
                      While the general statistics of wind velocities have been
                      studied extensively, persistence (waiting) time statistics
                      of wind is far from well understood. Here, we investigate
                      the statistics of both high- and low-wind persistence. We
                      find heavy tails and explain them as a superposition of
                      different wind conditions, requiring q-exponential
                      distributions instead of exponential distributions.
                      Persistent wind conditions are not necessarily caused by
                      stationary atmospheric circulation patterns nor by recurring
                      individual weather types but may emerge as a combination of
                      multiple weather types and circulation patterns. This also
                      leads to Fréchet instead of Gumbel extreme value
                      statistics. Understanding wind persistence statistically and
                      synoptically may help to ensure a reliable and economically
                      feasible future energy system, which uses a high share of
                      wind generation.},
      cin          = {IEK-STE},
      ddc          = {600},
      cid          = {I:(DE-Juel1)IEK-STE-20101013},
      pnm          = {153 - Assessment of Energy Systems – Addressing Issues of
                      Energy Efficiency and Energy Security (POF3-153) / CoNDyNet
                      - Kollektive Nichtlineare Dynamik Komplexer Stromnetze
                      $(PIK_082017)$ / CoNDyNet 2 - Kollektive Nichtlineare
                      Dynamik Komplexer Stromnetze (BMBF-03EK3055B) / VH-NG-1025 -
                      Helmholtz Young Investigators Group "Efficiency, Emergence
                      and Economics of future supply networks"
                      $(VH-NG-1025_20112014)$},
      pid          = {G:(DE-HGF)POF3-153 / $G:(Grant)PIK_082017$ /
                      G:(DE-JUEL1)BMBF-03EK3055B / $G:(HGF)VH-NG-1025_20112014$},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31882778},
      UT           = {WOS:000509310400001},
      doi          = {10.1038/s41598-019-56286-1},
      url          = {https://juser.fz-juelich.de/record/872567},
}