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Electricity Theft Detection Using Euclidean and Graph Convolutional Neural Networks

https://doi.org/10.1109/tpwrs.2022.3196403
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Convolutional neural network applied to detect electricity theft: A comparative study on unbalanced data handling techniques
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An adaptive synthesis to handle imbalanced big data with deep siamese network for electricity theft detection in smart grids
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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SAGE-net: A selectively-guided adversarial generative ensemble network for imbalanced electricity theft detection
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GRMC: a calendar-based gated residual Mamba classifier for interpretable electricity theft detection on low-resolution daily meter data
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FL2ETD: A Few-Shot Learning Framework to Electricity Theft Detection
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