IEEE

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...
IEEE

Bus-Centric Temporal Graph Neural Network Framework for Fault Localization and- Risk Profiling Using Pmu Time Series Data

Abstract: In modern power systems, rapid and accurate detection of dynamic events at the bus level is critical for ensuring grid reliability and operational resilience. The paper proposes a novel ...