% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Sovetkin:1005112,
      author       = {Sovetkin, Evgenii and Noll, Jonas and Patel, Neel and
                      Gerber, Andreas and Pieters, Bart},
      title        = {{V}ehicle‐{I}ntegrated {P}hotovoltaics {I}rradiation
                      {M}odeling {U}sing {A}erial‐{B}ased {LIDAR} {D}ata and
                      {V}alidation with {T}rip {M}easurements},
      journal      = {Solar RRL},
      volume       = {7},
      number       = {8},
      issn         = {2367-198X},
      address      = {Weinheim},
      publisher    = {Wiley-VCH},
      reportid     = {FZJ-2023-01311},
      pages        = {2200593 -},
      year         = {2023},
      abstract     = {Herein, a benchmark dataset for vehicle-integrated
                      photovoltaics irradiance modeling is proposed. The vehicle
                      trip data consist of trips in the state of North
                      Rhine-Westphalia in Germany starting from March 2021, which
                      amounts to more than 73 h and a total distance of
                      3422 km. The sensor box is equipped with GPS, a magnetic
                      compass, acoustic wind, and irradiance sensors and records
                      at a rate of 0.58 Hz. The irradiance sensors are
                      positioned on four sides of the vehicle: roof, left, right,
                      and rear. In addition to the data, a model that uses
                      high-resolution aerial-measured topography (LIDAR) and
                      low-resolution satellite-based weather data to forecast the
                      effective irradiation of modules mounted on a moving vehicle
                      is discussed. The utility of the simulation approach is
                      demonstrated by computing irradiation over long periods for
                      various driving profiles and comparing results with the
                      collected measurement data. The data are published as a
                      challenge, and the developed software is available in open
                      source.},
      cin          = {IEK-5},
      ddc          = {600},
      cid          = {I:(DE-Juel1)IEK-5-20101013},
      pnm          = {1214 - Modules, stability, performance and specific
                      applications (POF4-121)},
      pid          = {G:(DE-HGF)POF4-1214},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000874404300001},
      doi          = {10.1002/solr.202200593},
      url          = {https://juser.fz-juelich.de/record/1005112},
}