Zi-Lin Yang

GMT: A Graph-Based State Estimation Framework via Improved Graph Neural Networks

State estimation is an essential tool for situational awareness and control to ensure safe operation. To address challenges such as unknown physical models, missing data, and amplitude distortions in state estimation for complex systems, this paper proposes a Graph structures with Multibranch Transformer(GMT). The fram...