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Smart energy metering and power theft control using arduino & GSM

https://doi.org/10.1109/i2ct.2017.8226251
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/iccpct.2015.7159401openalex-snapshot
Development of ARM processor based electricity theft control system using GSM network
inferredcites →https://doi.org/10.1109/iceeict.2015.7307498openalex-snapshot
Arduino and GSM based smart energy meter for advanced metering and billing system
inferredcites →https://doi.org/10.1109/icpec.2013.6527721openalex-snapshot
A smart prepaid energy metering system to control electricity theft

What points at this work

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

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Application of Machine Learning Algorithms for Power Theft Detection in Electrical Distribution System
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Power theft detection using random forest algorithm and compared with K-Nn algorithm
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EGSP: Enhanced Grid Sensor Placement Algorithm for Energy Theft Detection in Smart Grids
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inferred← citeshttps://doi.org/10.1109/iccpeic45300.2019.9082397openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdi3c61568.2023.00069openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icosec51865.2021.9591724openalex-snapshot
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