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20182024
most citedPPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels

10 citations · 17 across the 5 of their papers we have counts for

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eess.SY2018★ 4 cited

Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks

Wenting Li, Deepjyoti Deka, Michael Chertkov +1

Diverse fault types, fast re-closures, and complicated transient states after a fault event make real-time fault location in power grids challenging. Existing localization techniqu…