Measurement-Based Probabilistic Power Flow Using a Basis Constrained Graph Convolutional Network with Few-Shot Node Adaptation.

Wang J, Liu J, Zhang H, An B, Zhao C

Open source

DOI
10.3390/s26175662
Published
2026 Sep 6
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s26175662,
  title = {Measurement-Based Probabilistic Power Flow Using a Basis Constrained Graph Convolutional Network with Few-Shot Node Adaptation.},
  author = {Wang J and Liu J and Zhang H and An B and Zhao C},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26175662},
  url = {https://doi.org/10.3390/s26175662}
}

RIS

TY  - JOUR
TI  - Measurement-Based Probabilistic Power Flow Using a Basis Constrained Graph Convolutional Network with Few-Shot Node Adaptation.
AU  - Wang J
AU  - Liu J
AU  - Zhang H
AU  - An B
AU  - Zhao C
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26175662
UR  - https://doi.org/10.3390/s26175662
ER  -

APA

J, W., J, L., H, Z., B, A., & C, Z. (2026). Measurement-Based Probabilistic Power Flow Using a Basis Constrained Graph Convolutional Network with Few-Shot Node Adaptation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26175662

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