Inertia-weighted FedAvg plus RoCoF-augmented ChebyKAN controllers achieve 75% generalization on unseen IEEE-39 faults and beat centralized PFL on two of three stabilized cases at full decentralization.
Explainable artificial intelligence (xai) techniques for energy and power systems: Review, challenges and opportunities,
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Inertia-Informed Federated Learning Control Framework for Distributed Smart Grid Resilience
Inertia-weighted FedAvg plus RoCoF-augmented ChebyKAN controllers achieve 75% generalization on unseen IEEE-39 faults and beat centralized PFL on two of three stabilized cases at full decentralization.