Abstract: This paper presents a comprehensive study on rare event estimation in power grids, focusing on state-of-the-art adaptive Monte Carlo algorithms. Building upon IEEE benchmarks, we analyze the pros and cons of each adaptive ...

Abstract: Bayesian networks (BNs) facilitate the establishment and communication of complex and large probabilistic models that are best characterized through local dependences and hierarchical structures. In addition, they enable ...