Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning.

Massarani AH, Badr MM, Baza M, Alshahrani H, Alshehri A

Open source

DOI
10.3390/s25134111
Published
2025 Jul 1
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/s25134111,
  title = {Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning.},
  author = {Massarani AH and Badr MM and Baza M and Alshahrani H and Alshehri A},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25134111},
  url = {https://doi.org/10.3390/s25134111}
}

RIS

TY  - JOUR
TI  - Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning.
AU  - Massarani AH
AU  - Badr MM
AU  - Baza M
AU  - Alshahrani H
AU  - Alshehri A
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25134111
UR  - https://doi.org/10.3390/s25134111
ER  -

APA

AH, M., MM, B., M, B., H, A., & A, A. (2025). Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25134111

Source records