Ko Keun Kim

Graph-enhanced bidirectional GRU for anomaly detection in power generation environments

This paper presents a graph-based anomaly detection model tailored for power generation systems using multivariate time-series data. The model integrated a bidirectional gated recurrent unit with graph neural networks and graph attention networks to effectively capture temporal dynamics and spatial relationships among...