RETRACTED: Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning
- DOI
- 10.1371/journal.pone.0350561
- Published
- 2026-06-03
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0350561,
title = {RETRACTED: Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning},
author = {Junqing Zhang and Yugui Zhao and Junyu Zhang and Zhengxin Bai},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0350561},
url = {https://doi.org/10.1371/journal.pone.0350561}
}RIS
TY - JOUR TI - RETRACTED: Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning AU - Junqing Zhang AU - Yugui Zhao AU - Junyu Zhang AU - Zhengxin Bai PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0350561 UR - https://doi.org/10.1371/journal.pone.0350561 ER -
APA
Zhang, J., Zhao, Y., Zhang, J., & Bai, Z. (2026). RETRACTED: Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning. PLOS One. https://doi.org/10.1371/journal.pone.0350561
Source records
- crossref · retrieved 2026-09-25T22:40:06.447Z