Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems
Maximum Marginal Likelihood Estimation of Phase Connections in Power Distribution Systems
Accurate phase connectivity information is essential for advanced monitoring and control applications in power distribution systems. The existing data-driven approaches for phase identification lack precise physical interpretation and theoretical performance guarantee. Their performance generally deteriorates as the complexity of the network, the number of phase connections, and the level of …