Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids.

Tayseer M, Talaat M, Zamel AA, Sedhom BE, Elgamal M, Senjyu T, Song D, Ibrahim IM, Elkholy MH

Open source

DOI
10.1038/s41598-025-31007-z
Published
2025 Dec 18
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-025-31007-z,
  title = {Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids.},
  author = {Tayseer M and Talaat M and Zamel AA and Sedhom BE and Elgamal M and Senjyu T and Song D and Ibrahim IM and Elkholy MH},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-31007-z},
  url = {https://doi.org/10.1038/s41598-025-31007-z}
}

RIS

TY  - JOUR
TI  - Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids.
AU  - Tayseer M
AU  - Talaat M
AU  - Zamel AA
AU  - Sedhom BE
AU  - Elgamal M
AU  - Senjyu T
AU  - Song D
AU  - Ibrahim IM
AU  - Elkholy MH
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-31007-z
UR  - https://doi.org/10.1038/s41598-025-31007-z
ER  -

APA

M, T., M, T., AA, Z., BE, S., M, E., T, S., D, S., IM, I., & MH, E. (2025). Cyber-resilient machine learning framework for accurate individual load forecasting and anomaly detection in smart grids.. Scientific reports. https://doi.org/10.1038/s41598-025-31007-z

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