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Smart grid energy fraud detection using artificial neural networks

https://doi.org/10.1109/ciasg.2014.7011557
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Learning of Neural Networks for Fraud Detection Based on a Partial Area Under Curve
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inferredcites →https://doi.org/10.1016/0169-7722(92)90015-7openalex-snapshot
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inferredcites →https://doi.org/10.1109/hicss.1994.323314openalex-snapshot
Credit card fraud detection with a neural-network
inferredcites →https://doi.org/10.1109/tdc.2008.4517232openalex-snapshot
Fraud detection in high voltage electricity consumers using data mining
inferredcites →https://doi.org/10.1109/tpwrd.2009.2030890openalex-snapshot
Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines
inferredcites →https://doi.org/10.5121/ijaia.2013.4602openalex-snapshot
Fraud Detection in Electric Power Distribution Networks using an Ann-Based Knowledge-Discovery Process
inferredcites →https://doi.org/10.5769/c2012010openalex-snapshot
Neural Network Predictor for Fraud Detection: A Study Case for the Federal Patrimony Department
inferredcites →https://doi.org/10.5860/choice.49-3305openalex-snapshot
Data mining: concepts and techniques

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Human-aware application of data science techniques
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