Physics-Aware Recurrent and Graphical Learning for Robust Distribution System State Estimation Across Unseen Networks
Robust distribution system state estimation (DSSE) is increasingly vital in modern, complex networks. However, conventional optimization-based DSSE approaches often face challenges with real-time complexity. Consequently, recent advancements have introduced learning-based, physics-aware DSSE methods that leverage netwo...