Thomas Oberlieben’s research while affiliated with TU Dortmund University and other places

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Publications (1)


Towards a Universally Applicable Neural State Estimation through Transfer Learning
  • Conference Paper

October 2021

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36 Reads

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3 Citations

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Marc-Aurel Frankenbach

Citations (1)


... The prox-linear neural network was constructed by unrolling a proximal-linear solver [241]. Transfer learning was investigated for the first time in [242] to improve the performance of ANN considering topology changes, and training data were obtained from SIMONA simulation framework [243]. The approach shows a promising potential to be a flexible framework for different grids, especially distribution networks with low observability. ...

Reference:

Low and medium voltage distribution network planning with distributed energy resources: a survey
Towards a Universally Applicable Neural State Estimation through Transfer Learning
  • Citing Conference Paper
  • October 2021