Articles with "theft detection" as a keyword



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A practical feature-engineering framework for electricity theft detection in smart grids

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Published in 2019 at "Applied Energy"

DOI: 10.1016/j.apenergy.2019.01.076

Abstract: Despite many potential advantages, Advanced Metering Infrastructures have introduced new ways to falsify meter readings and commit electricity theft. This study contributes a new model-agnostic, feature-engineering framework for theft detection in smart grids. The framework… read more here.

Keywords: electricity theft; theft detection; framework; detection ... See more keywords
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Electricity Theft Detection With Automatic Labeling and Enhanced RUSBoost Classification Using Differential Evolution and Jaya Algorithm

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3102643

Abstract: Electricity theft has emerged as one of the major reasons of Non-Technical Losses (NTLs) in the power distribution systems and has become a global issue. Therefore, power utilities are concerned about resolving the issue of… read more here.

Keywords: rusboost; electricity; jaya; theft detection ... See more keywords
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Electricity Theft Detection in Smart Grids based on Deep Neural Network

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3166146

Abstract: Electricity theft is a global problem that negatively affects both utility companies and electricity users. It destabilizes the economic development of utility companies, causes electric hazards and impacts the high cost of energy for users.… read more here.

Keywords: electricity theft; theft detection; smart grids; electricity ... See more keywords
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Performance Analysis of Electricity Theft Detection for the Smart Grid: An Overview

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2021.3127649

Abstract: Electricity theft has been a growing concern for the smart grid. It can be defined as follows: illegal customers use energy from electric utilities without a contract or manipulate their meter readings to pay less… read more here.

Keywords: electricity theft; theft; theft detection; smart grid ... See more keywords
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Data Augmentation for Electricity Theft Detection Using Conditional Variational Auto-Encoder

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Published in 2020 at "Energies"

DOI: 10.3390/en13174291

Abstract: Due to the strong concealment of electricity theft and the limitation of inspection resources, the number of power theft samples mastered by the power department is insufficient, which limits the accuracy of power theft detection.… read more here.

Keywords: electricity theft; theft detection; theft; power ... See more keywords