Abstract: Graph Neural Networks (GNNs) have gained popularity as an efficient choice for learning on graph-structured data. However, most methods are node or graph-centered, often overlooking valuable ...

Abstract: This paper presents a Bayesian optimization-based framework for incorporating small-signal stability constraints into the optimal power flow (OPF) problem. First, a mathematical optimization ...