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@INPROCEEDINGS{Albanese:1048849,
      author       = {Albanese, Mario and Carta, Daniele and Löhnert, Ulrich and
                      Benigni, Andrea},
      title        = {{A}ssessing the {I}mpact of {G}round-{B}ased {C}loud
                      {O}bservations on {P}hotovoltaic {G}eneration {F}orecast},
      publisher    = {IEEE},
      reportid     = {FZJ-2025-04954},
      pages        = {1-6},
      year         = {2025},
      abstract     = {The widespread integration of photovoltaic (PV) systems
                      into modern power grids poses several operational
                      challenges, primarily due to the stochastic nature of
                      weather conditions, which leads to uncertainty in power
                      generation. In this context, accurate forecasting of PV
                      output becomes critical, especially for electricity markets
                      and grid management. This paper investigates the
                      relationship between non-conventional weather variables
                      (i.e., ground-based cloud observations) and PV power
                      generation, and evaluates the impact of incorporating such
                      data into a machine learning model to improve forecasting
                      performance. The analysis is conducted using real power
                      output and ground-based meteorological data collected at
                      Forschungszentrum Jülich, in Germany.},
      month         = {Oct},
      date          = {2025-10-14},
      organization  = {IECON 2025 – 51st Annual Conference
                       of the IEEE Industrial Electronics
                       Society, Madrid (Spain), 14 Oct 2025 -
                       17 Oct 2025},
      cin          = {ICE-1},
      cid          = {I:(DE-Juel1)ICE-1-20170217},
      pnm          = {1122 - Design, Operation and Digitalization of the Future
                      Energy Grids (POF4-112) / 1123 - Smart Areas and Research
                      Platforms (POF4-112)},
      pid          = {G:(DE-HGF)POF4-1122 / G:(DE-HGF)POF4-1123},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1109/IECON58223.2025.11221083},
      url          = {https://juser.fz-juelich.de/record/1048849},
}