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@ARTICLE{Brenzke:905640,
      author       = {Brenzke, M. and Wiesen, S. and Bernert, M. and Coster, D.
                      and Jitsev, Jenia and Liang, Yunfeng and von Toussaint, U.
                      and ASDEX Upgrade Team and EUROfusion MST1 Team},
      title        = {{D}ivertor power load predictions based on machine
                      learning},
      journal      = {Nuclear fusion},
      volume       = {61},
      number       = {4},
      issn         = {0029-5515},
      address      = {Vienna},
      publisher    = {IAEA},
      reportid     = {FZJ-2022-00867},
      pages        = {046023 -},
      year         = {2021},
      note         = {kein Zugriff auf Postprint},
      abstract     = {Machine learning based data-driven approaches to thermal
                      load prediction on the divertor targets of ASDEX upgrade
                      (AUG) are presented. After selecting time averaged data from
                      almost six years of operation of AUG and applying basic
                      physics-motivated cuts to the data we find that we are able
                      to train machine learning models to predict a scalar
                      quantifying the steady state thermal loads on the outer
                      divertor target given scalar operational parameters. With
                      both random forest and neural network based models we manage
                      to achieve decent agreement between the model predictions
                      and the observed values from experiments. Furthermore, we
                      investigate the dependencies of the models and observe that
                      the models manage to extract trends expected from previous
                      physics analyses.},
      cin          = {JSC / IEK-4},
      ddc          = {620},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IEK-4-20101013},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / 134 -
                      Plasma-Wand-Wechselwirkung (POF4-134)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-134},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000629939700001},
      doi          = {10.1088/1741-4326/abdb94},
      url          = {https://juser.fz-juelich.de/record/905640},
}