Reference health
Online electricity theft detection framework for large-scale smart grid data
17/17 checkable references clean · checked 2026-08-09
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 17 checked references that resolve
resolves10.1016/j.enpol.2010.11.037
Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft
resolves10.1109/JSAC.2013.130714
A Multi-Sensor Energy Theft Detection Framework for Advanced Metering Infrastructures
resolves10.1109/TPWRS.2018.2853162
NTL Detection in Electric Distribution Systems Using the Maximal Overlap Discrete Wavelet-Packet Transform and Random Undersampling Boosting
resolves10.1016/j.epsr.2012.12.008
Probabilistic methodology for Technical and Non-Technical Losses estimation in distribution system
resolves10.1109/TSG.2012.2229397
Exploring Malicious Meter Inspection in Neighborhood Area Smart Grids
resolves10.1109/TSG.2015.2425222
Electricity Theft Detection in AMI Using Customers’ Consumption Patterns
resolves10.1109/TSG.2019.2892595
Energy Theft Detection Using Gradient Boosting Theft Detector With Feature Engineering-Based Preprocessing
resolves10.1002/cpe.6316
Big data analytics for identifying electricity theft using machine learning approaches in microgrids for smart communities
resolves10.1155/2019/4136874
Electricity Theft Detection in Power Grids with Deep Learning and Random Forests
resolves10.1016/j.apenergy.2019.01.076
A practical feature-engineering framework for electricity theft detection in smart grids
resolves10.1109/ACCESS.2017.2689040
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges
resolves10.1109/ACCESS.2019.2925322
PPETD: Privacy-Preserving Electricity Theft Detection Scheme With Load Monitoring and Billing for AMI Networks
The 12 references without a DOI — listed, not checked
no DOI — not checkedElectricity theft detection and localization in grid-tied microgrids
no DOI — not checkedDecision tree learning for fraud detection in consumer energy consumption
no DOI — not checkedImproving electric fraud detection using class imbalance strategies
no DOI — not checkedArima-based modeling and validation of consumption readings in power grids
no DOI — not checkedChapter 3 - gas metal arc welding: Sensing
no DOI — not checkedDeep directed information-based learning for privacy-preserving smart meter data release
no DOI — not checkedExtracting effective features for descriptive analysis of household energy consumption using smart home data
no DOI — not checkedDecision tree based electricity theft detection in smart grid
no DOI — not checkedSmart*: An open data set and tools for enabling research in sustainable homes
no DOI — not checkedElectricity theft detecting based on density-clustering method
no DOI — not checkedElectricity theft detection base on extreme gradient boosting in ami
no DOI — not checkedF-deta: A framework for detecting electricity theft attacks in smart grids
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carried a retraction notice at that time. It says nothing about the quality, findings,
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