20 citations · 51 across the 6 of their papers we have counts for
7 papers
Detecting False Data Injection and Unstable Operation in Smart Grid via System-Aware Graph Boundary Learning
Emad Efatinasab, Denis Donadel, Mirco Rampazzo +1
Cyber-physical power systems increasingly rely on data-driven tools to detect instability and support reliable grid operation. However, reliable stability prediction is difficult w…
ProDER: A Continual Learning Approach for Fault Classification and Localization in Evolving Smart Grids
Emad Efatinasab, Nahal Azadi, Davide Dalle Pezze +3
Data-driven fault diagnosis models for smart grids are usually trained once on a fixed dataset, whereas in operation new fault types appear and monitoring is extended to new grid z…
Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
Emad Efatinasab, Alessandro Brighente, Denis Donadel +2
Smart grids are crucial for meeting rising energy demands driven by global population growth and urbanization. By integrating renewable energy sources, they enhance efficiency, rel…
Continual Learning for Behavior-based Driver Identification
Mattia Fanan, Davide Dalle Pezze, Emad Efatinasab +3
Behavior-based Driver Identification is an emerging technology that recognizes drivers based on their unique driving behaviors, offering important applications such as vehicle thef…
GAN-GRID: A Novel Generative Attack on Smart Grid Stability Prediction
Emad Efatinasab, Alessandro Brighente, Mirco Rampazzo +2
The smart grid represents a pivotal innovation in modernizing the electricity sector, offering an intelligent, digitalized energy network capable of optimizing energy delivery from…
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids
Emad Efatinasab, Francesco Marchiori, Alessandro Brighente +2
Predicting and classifying faults in electricity networks is crucial for uninterrupted provision and keeping maintenance costs at a minimum. Thanks to the advancements in the field…
When Authentication Is Not Enough: Breaking Behavior-Based Driver Authentication Systems
Emad Efatinasab, Francesco Marchiori, Denis Donadel +2
Researchers extensively explored behavior-based driver authentication systems in vehicles. Pushed by advances in Artificial Intelligence (AI), these systems employ powerful models…