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Found 6 papers, 1 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.
Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control
The ongoing modernization of the power system, involving new equipment installations and upgrades, exposes the power system to the introduction of malware into its operation through supply chain attacks.
On the Use of Reinforcement Learning for Attacking and Defending Load Frequency Control
Moreover our method can be employed to generate data to inform the design of defense strategies and develop attack detection methods.
On the Use of Safety Critical Control for Cyber-Physical Security in the Smart Grid
The tight coupling between communication and control in cyber-physical systems is necessary to enable the complex regulation required to operate these systems.
A Probabilistic Approach to Adaptive Protection in the Smart Grid
However, given the safety-criticality of protection, the algorithms used to analyze this data must be stable, transparent, and easily interpretable to ensure the reliability of the protection decisions.
Implicit Feedback Deep Collaborative Filtering Product Recommendation System
The latent factors are used to generalize the purchasing pattern of the customers and to provide product recommendations.
