A new 3D simulation tool developed by ETH and SLF researchers now allows for significantly more accurate predictions of ...

This paper develops a computationally efficient algorithm which speeds up the probabilistic power flow (PPF) problem by exploiting the inherently low-rank nature of the voltage profile in electrical ...

This research contributes to the advancement of traffic state estimation and prediction methodologies by leveraging the benefits of the nonlocal LWR model within a physics-informed deep learning (PIDL ...