Email this article Forecasting the State of Components of Smart Grids for Early Detection of Cyberattacks
- Authors: Lavrova D.S.1
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Affiliations:
- Peter the Great St. Petersburg Polytechnic University
- Issue: Vol 53, No 8 (2019)
- Pages: 1023-1025
- Section: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175995
- DOI: https://doi.org/10.3103/S0146411619080133
- ID: 175995
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Abstract
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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About the authors
D. S. Lavrova
Peter the Great St. Petersburg Polytechnic University
Author for correspondence.
Email: lavrova@ibks.spbstu.ru
Russian Federation, St. Petersburg, 195251
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