Benchmark-grounded self-supervised contrastive learning for AMI-based distribution grid monitoring.

Zhang L, Yang B, Ke X, Zhao H, Zhang W, Yao Y

DOI: 10.3389/frai.2026.1868885
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1868885,
  title = {Benchmark-grounded self-supervised contrastive learning for AMI-based distribution grid monitoring.},
  author = {Zhang L and Yang B and Ke X and Zhao H and Zhang W and Yao Y},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1868885},
  url = {https://doi.org/10.3389/frai.2026.1868885}
}

RIS

TY  - JOUR
TI  - Benchmark-grounded self-supervised contrastive learning for AMI-based distribution grid monitoring.
AU  - Zhang L
AU  - Yang B
AU  - Ke X
AU  - Zhao H
AU  - Zhang W
AU  - Yao Y
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1868885
UR  - https://doi.org/10.3389/frai.2026.1868885
ER  -

APA

L, Z., B, Y., X, K., H, Z., W, Z., & Y, Y. (2026). Benchmark-grounded self-supervised contrastive learning for AMI-based distribution grid monitoring.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1868885

Source records

pubmed · retrieved 2026-09-25T08:19:16.044Z