Enviar artigo por via de e-mail Forecasting the State of Components of Smart Grids for Early Detection of Cyberattacks
- Autores: Lavrova D.S.1
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Afiliações:
- Peter the Great St. Petersburg Polytechnic University
- Edição: Volume 53, Nº 8 (2019)
- Páginas: 1023-1025
- Seção: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175995
- DOI: https://doi.org/10.3103/S0146411619080133
- ID: 175995
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Resumo
The author proposes an approach for predicting the state of Smart Grid components, which is based on a combination of the mathematical techniques of the Kalman filter and machine learning. Prediction of the state will make it possible to detect cyberattacks implemented against a Smart Grid at an early stage.
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Sobre autores
D. Lavrova
Peter the Great St. Petersburg Polytechnic University
Autor responsável pela correspondência
Email: lavrova@ibks.spbstu.ru
Rússia, St. Petersburg, 195251
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