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@INPROCEEDINGS{Omoyele:1053971,
      author       = {Omoyele, Olalekan and Hoffmann, Maximilian and Weinand,
                      Jann and Larraneta, M. and Stolten, Detlef},
      title        = {{A} {H}igh-{R}esolution {D}ownscaling {A}pproach for
                      {S}olar {I}rradiance {U}sing {S}tatistical {P}arameter
                      {M}atching},
      reportid     = {FZJ-2026-01647},
      year         = {2025},
      abstract     = {The limited intra-hour variability of globally available
                      hourly renewable energy system data leads to inaccuracies in
                      the modeling of renewable energy systems. This work,
                      therefore, presents a methodology to increase the temporal
                      resolution of the global horizontal irradiance from one hour
                      to one minute using non-dimensional irradiance and
                      parameters matching for arbitrary locations. The methodology
                      is validated using statistical methods and energy system
                      modeling in self-sufficient buildings. The hourly annual
                      normalized root mean square error and Kolmogorov-Smirnov
                      Integral range from 6 - $12\%$ and 0.1 - 0.84, respectively,
                      for different locations consisting of varying weather
                      conditions. The energy system optimization results of the
                      synthetic data demonstrate superiority in terms of cost and
                      feasibility relative to the average hourly resolution data.
                      The use of synthetic minute resolution data has been shown
                      to significantly improve the design accuracy of dynamic
                      components such as inverters (where underestimation in
                      capacity is up to $58\%)$ and storage systems. The developed
                      methodology facilitates more reliable energy system
                      modeling.},
      month         = {Jun},
      date          = {2025-06-22},
      organization  = {'Association of European Operational
                       Research Societies (EURO), Leeds
                       (United Kingdom), 22 Jun 2025 - 25 Jun
                       2025},
      cin          = {ICE-2},
      cid          = {I:(DE-Juel1)ICE-2-20101013},
      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)1},
      url          = {https://juser.fz-juelich.de/record/1053971},
}