Graph Neural Ordinary Differential Equations for Power System Identification with Transfer Learning Applications

With the shift towards decentralized energy generation, the increasing complexity of power systems renders physics-based modeling challenging. At the same time the growing amount of available measurement data opens the door for obtaining data-driven models. A modern method to do so are neural ordina