Robustness Analysis of AI Models in Critical Energy Systems

This paper analyzes the robustness of state-of-the-art AI-based models for
power grid operations under the $N-1$ security criterion. While these models
perform well in regular grid settings, our results highlight a significant loss
in accuracy following the disconnection of a line.%under this security
criterion. Using graph theory-based analysis, we demonstrate the impact of node
connectivity on this loss. Our findings emphasize the need for practical
scenario considerations in developing AI methodologies for critical
infrastructure.