Forecasting the State of Components of Smart Grids for Early Detection of Cyberattacks

Аннотация

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.