Conference paper
Ensembling Graph Predictions for AMR Parsing
Thanh Lam Hoang, Gabriele Picco, et al.
NeurIPS 2021
We propose a computationally efficient approach to detect severe multiple contingencies. We pose a contingency analysis problem using a nonlinear optimization framework, which enables us to detect the fewest possible transmission line outages resulting in a system failure of specified severity, and to identify the most severe system failure caused by removing a specified number of transmission lines from service. Illustrations using a three-bus system and the IEEE 30-bus system aim to exhibit the effectiveness of the proposed approach. © 2008 IEEE.
Thanh Lam Hoang, Gabriele Picco, et al.
NeurIPS 2021
Vanessa López, Hendrik F. Hamann
Int. J. Heat Mass Transf.
Marco Luca Sbodio, Vanessa López, et al.
Scientific Reports