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This article presents a research paper on a specific application of AI in power grid management. The focus is on using simulation and dynamic programming to optimize the deployment of mobile resources for restoring power after disruptions. The approach is likely aimed at improving efficiency and reducing downtime in power distribution networks. The use of 'online dynamic programming' suggests a real-time or near real-time adaptation to changing conditions.
Reference