Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids
- DOI
- 10.1109/iecon49645.2022.9968378
- Published
- 2022-10-17
- Container
- IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/iecon49645.2022.9968378,
title = {Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids},
author = {Tarek Berghout and Mohamed Benbouzid and Mohamed Amine Ferrag},
year = {2022},
journal = {IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society},
doi = {10.1109/iecon49645.2022.9968378},
url = {https://doi.org/10.1109/iecon49645.2022.9968378}
}RIS
TY - JOUR TI - Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids AU - Tarek Berghout AU - Mohamed Benbouzid AU - Mohamed Amine Ferrag PY - 2022 JO - IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society DO - 10.1109/iecon49645.2022.9968378 UR - https://doi.org/10.1109/iecon49645.2022.9968378 ER -
APA
Berghout, T., Benbouzid, M., & Ferrag, M. A. (2022). Deep Learning with Recurrent Expansion for Electricity Theft Detection in Smart Grids. IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. https://doi.org/10.1109/iecon49645.2022.9968378
Source records
- crossref · retrieved 2026-11-10T13:48:47.609Z