A GAN trained only on stable grid data can flag unstable states and adversarial attacks, reaching 98.1% stability accuracy on the augmented UCI grid dataset.
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Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
A GAN trained only on stable grid data can flag unstable states and adversarial attacks, reaching 98.1% stability accuracy on the augmented UCI grid dataset.