Ensemble machine learning models for the detection of energy theft
Sign Up to like & getrecommendations! Published in 2020 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2020.106904
Abstract: Abstract Advanced metering infrastructure allows the two-way sharing of information between smart meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats such as energy theft. This study suggests ensemble machine learning… read more here.
Keywords: machine learning; learning models; energy; energy theft ... See more keywords
Unbalanced Data Handling Techniques for Classifying Energy Theft and Defective Meters in the Provincial Electricity Authority of Thailand
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3274543
Abstract: Energy theft and defective meters not only lead to non-technical losses (NTLs) that are extremely detrimental to energy distributors and power infrastructure, but NTLs are also a major cause of damages to electricity and massive… read more here.
Keywords: provincial electricity; energy; theft defective; unbalanced data ... See more keywords
Artificial Intelligence for Energy Theft Detection in Distribution Networks
Sign Up to like & getrecommendations! Published in 2024 at "Energies"
DOI: 10.3390/en17071580
Abstract: The digitization of distribution power systems has revolutionized the way data are collected and analyzed. In this paper, the critical task of harnessing this information to identify irregularities and anomalies in electricity consumption is tackled.… read more here.
Keywords: distribution networks; artificial intelligence; distribution; energy theft ... See more keywords
Incentive Mechanism Design for Privacy-Aware Energy Theft Detection Based on Contract Theory
Sign Up to like & getrecommendations! Published in 2025 at "Energies"
DOI: 10.3390/en18226059
Abstract: Energy theft remains a major source of non-technical losses in smart grids, leading to significant economic damage and operational risks. Traditional detection methods often rely on fine-grained user consumption data, raising serious privacy concerns and… read more here.
Keywords: detection; mechanism; privacy; energy theft ... See more keywords