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...
Dongwook Kwon, Youngshin Kang, Jiwoon Lee et al.
· Data mining and knowledge di... · 0 citations