Unsupervised Detection of Spatiotemporal Anomalies in PMU Data Using Transformer-Based BiGAN
arXiv:2509.25612v2 Announce Type: replace
Abstract: Ensuring power grid resilience requires the timely and unsupervised detection of anomalies in synchrophasor data streams. We introduce T-BiGAN, a novel framework that integrates window-attention Tran…