Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks

Adversarially Robust Fault Zone Prediction in Smart Grids With Bayesian Neural Networks

The rapid growth of the global population, economy, and urbanization is significantly increasing energy consumption, necessitating the integration of renewable energy sources. This integration presents challenges that demand innovative solutions to maintain grid stability and efficiency. Smart grids...

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Bibliographic Details
Main Authors: Emad Efatinasab, Alberto Sinigaglia, Nahal Azadi, Gian Antonio Susto, Mirco Rampazzo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Adversarial attacks
Bayesian neural networks
fault prediction
smart grids
uncertainty quantification
Online Access:https://ieeexplore.ieee.org/document/10659889/

Internet

https://ieeexplore.ieee.org/document/10659889/

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