20 citations · 51 across the 6 of their papers we have counts for
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cs.LG2025
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…
cs.CR2025★ 20 cited
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…