Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?

Afonin A, Chertkov M

DOI: 10.3389/fdata.2021.692493
Published: 2021
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2021.692493,
  title = {Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?},
  author = {Afonin A and Chertkov M},
  year = {2021},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2021.692493},
  url = {https://doi.org/10.3389/fdata.2021.692493}
}

RIS

TY  - JOUR
TI  - Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?
AU  - Afonin A
AU  - Chertkov M
PY  - 2021
JO  - Frontiers in big data
DO  - 10.3389/fdata.2021.692493
UR  - https://doi.org/10.3389/fdata.2021.692493
ER  -

APA

A, A., & M, C. (2021). Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation, and Optimal Measurement Placement in Power Systems?. Frontiers in big data. https://doi.org/10.3389/fdata.2021.692493

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pubmed · retrieved 2026-09-25T13:00:10.560Z