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Found 6 papers, 0 papers with code
Enhancing Power Quality Event Classification with AI Transformer Models
It can accurately classify PQEs under the aforementioned conditions with an accuracy varying between 99. 81%$-$91. 43% depending on the signal-to-noise ratio, DC offsets, and variations in the signal amplitude and frequency.
Learning-Based Detection of Malicious Volt-VAr Control Parameters in Smart Inverters
In contrast with previous works that proposed methods to mitigate the oscillations after they are already present in the system, this paper presents an intrusion detection method to detect malicious VVC curves once they are communicated to the inverter.
An Observer-Based Key Agreement Scheme for Remotely Controlled Mobile Robots
Our key agreement scheme leverages a nonlinear unknown input observer and an error correction code mechanism to allow the robot to securely agree on a secret key with its remote controller.
LSTM-based approach to detect cyber attacks on market-based congestion management methods
In this paper, we focus on Load Altering Attacks that would compromise the operation of market-based congestion management methods.
Wyner wiretap-like encoding scheme for cyber-physical systems
In this study, the authors consider the problem of exchanging secrete messages in cyber-physical systems (CPSs) without resorting to cryptographic solutions.
Impact of Electric Vehicles Botnets on the Power Grid
Moreover, the effect of the botnet of the transmission network is also studied.
