Physics-Informed Machine Learning for Power Grid Frequency Modeling

Johannes Kruse, Eike Cramer, Benjamin Schäfer, Dirk Witthaut

Open source

DOI: 10.1103/prxenergy.2.043003
Published: 2023-10-04
Container: PRX Energy
Publisher: American Physical Society (APS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1103/prxenergy.2.043003,
  title = {Physics-Informed Machine Learning for Power Grid Frequency Modeling},
  author = {Johannes Kruse and Eike Cramer and Benjamin Schäfer and Dirk Witthaut},
  year = {2023},
  journal = {PRX Energy},
  doi = {10.1103/prxenergy.2.043003},
  url = {https://doi.org/10.1103/prxenergy.2.043003}
}

RIS

TY  - JOUR
TI  - Physics-Informed Machine Learning for Power Grid Frequency Modeling
AU  - Johannes Kruse
AU  - Eike Cramer
AU  - Benjamin Schäfer
AU  - Dirk Witthaut
PY  - 2023
JO  - PRX Energy
DO  - 10.1103/prxenergy.2.043003
UR  - https://doi.org/10.1103/prxenergy.2.043003
ER  -

APA

Kruse, J., Cramer, E., Schäfer, B., & Witthaut, D. (2023). Physics-Informed Machine Learning for Power Grid Frequency Modeling. PRX Energy. https://doi.org/10.1103/prxenergy.2.043003

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crossref · retrieved 2026-09-25T05:44:32.047Z