State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
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Time-synchronized state estimation for reconfigurable distribution networks is challenging because of limited real-time observability. This paper addresses this challenge by formulating a deep learning (DL)-based approach for topology identification (TI) and u... ...
