Articles with "electricity theft" as a keyword



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Study of Electricity Theft Impact on the Economy of a Regulated Electricity Company

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Published in 2017 at "Journal of Control, Automation and Electrical Systems"

DOI: 10.1007/s40313-017-0325-z

Abstract: The electricity theft is an economic issue for the electricity company due to unbilled revenue of consumers who commit such action. In a regulated scenario, the company needs to fit within the laws of a… read more here.

Keywords: economy regulated; company; electricity; electricity theft ... See more keywords
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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: Analysis of the underlying contributory factors in Ghana

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Published in 2018 at "Energy Policy"

DOI: 10.1016/j.enpol.2018.09.019

Abstract: Abstract Developing countries, including Ghana, are grappling with a high rate of electricity theft; it is affecting the income generation capacity of their utility companies. The infrastructure deployed by these utility companies to detect and… read more here.

Keywords: electricity; contributory factors; electricity theft; underlying contributory ... 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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AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3150016

Abstract: Electricity theft (ET) is an utmost problem for power utilities because it threatens public safety, disturbs the normal working of grid infrastructure and increases revenue losses. In the literature, many machine learning (ML), deep learning… read more here.

Keywords: alexnet; electricity theft; hybrid model; smart grids ... 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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RFE Based Feature Selection and KNNOR Based Data Balancing for Electricity Theft Detection Using BiLSTM-LogitBoost Stacking Ensemble Model

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3215532

Abstract: Obtaining outstanding electricity theft detection (ETD) performance in the realm of advanced metering infrastructure (AMI) and smart grids (SGs) is quite difficult due to various issues. The issues include limited availability of theft data as… read more here.

Keywords: electricity theft; feature; theft; model ... See more keywords
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Efficient Privacy-Preserving Electricity Theft Detection With Dynamic Billing and Load Monitoring for AMI Networks

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Published in 2021 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.3026692

Abstract: In advanced metering infrastructure (AMI), smart meters (SMs) are installed at the consumer side to send fine-grained power consumption readings periodically to the system operator (SO) for load monitoring, energy management, and billing. However, fraudulent… read more here.

Keywords: load monitoring; fraudulent consumers; electricity theft; load ... See more keywords
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Electricity-Theft Detection for Change-and-Transmit Advanced Metering Infrastructure

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Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3197805

Abstract: The periodic transmission of the customers’ power consumption readings in the advanced metering infrastructure (AMI) is essential for energy management and billing. To collect the readings efficiently, the change and transmit approach is adopted in… read more here.

Keywords: metering infrastructure; electricity theft; detection; advanced metering ... See more keywords
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Detection Methods in Smart Meters for Electricity Thefts: A Survey

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Published in 2022 at "Proceedings of the IEEE"

DOI: 10.1109/jproc.2021.3139754

Abstract: For accommodating rapidly increasing power demands, power systems are transitioning from analog systems to systems with increasing digital control and communications. Although this modernization brings many far-reaching benefits, the hardware and software newly incorporated into… read more here.

Keywords: detection methods; electricity; survey; electricity theft ... See more keywords
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Data-Driven Detection of Electricity Theft Cyberattacks in PV Generation

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Published in 2022 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2021.3103272

Abstract: Most of the existing research focuses on electricity theft cyberattacks in the consumption domain. On the contrary, a high penetration level of distributed generators (DGs) may result in increased electricity theft cyberattacks in the distributed… read more here.

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