158 citations · 212 across the 8 of their papers we have counts for
7 papers · 1 filter
Handling Initial Conditions in Vector Fitting for Real Time Modeling of Power System Dynamics
Tommaso Bradde, Samuel Chevalier, Marco De Stefano +2
This paper develops a predictive modeling algorithm, denoted as Real-Time Vector Fitting (RTVF), which is capable of approximating the real-time linearized dynamics of multi-input…
Network Topology Invariant Stability Certificates for DC Microgrids with Arbitrary Load Dynamics
Samuel Chevalier, Federico Martin Ibanez, Kathleen Cavanagh +3
DC microgrids are prone to small-signal instabilities due to the presence of tightly regulated loads. This paper develops a decentralized stability certificate which is capable of…
Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction
Samuel Chevalier, Luca Schenato, Luca Daniel
This paper applies a custom model order reduction technique to the distribution grid state estimation problem. Specifically, the method targets the situation where, due to pseudo-m…
Higher-Order Certification for Randomized Smoothing
Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei Weng +3
Randomized smoothing is a recently proposed defense against adversarial attacks that has achieved SOTA provable robustness against perturbations. A number of publications…
Accelerated Probabilistic Power Flow in Electrical Distribution Networks via Model Order Reduction and Neumann Series Expansion
Samuel Chevalier, Luca Schenato, Luca Daniel
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 pro…
Proper Network Interpretability Helps Adversarial Robustness in Classification
Akhilan Boopathy, Sijia Liu, Gaoyuan Zhang +4
Recent works have empirically shown that there exist adversarial examples that can be hidden from neural network interpretability (namely, making network interpretation maps visual…