2021
Adversarially robust learning for security-constrained optimal power flow
NeurIPS 2021poster
In recent years, the ML community has seen surges of interest in both adversarially robust learning and implicit layers, but connections between these two areas have seldom been explored. In this work, we combine innovations from these areas to tackle the problem of N-k security-constrained optimal…