Data-Driven Approaches for Energy Theft Detection: A Comprehensive Review
The transition to smart grids has served to transform traditional power systems into
datadriven power systems. The purpose of this transition is to enable effective energy …
datadriven power systems. The purpose of this transition is to enable effective energy …
Transfer Learning-Driven Electricity Theft Detection in Small Sample Cases
W Liao, R Zhu, A Takiddin, M Tariq… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
In recent years, there has been a growing trend in the utilization of machine learning
techniques for electricity theft detection. However, most existing works share a strong …
techniques for electricity theft detection. However, most existing works share a strong …
[HTML][HTML] Secured energy data transaction for prosumers under diverse cyberattack scenarios
Due to the increasing use of renewable energy sources and the advancement of smart grid
technology, bilateral energy transactions between prosumers have attracted significant …
technology, bilateral energy transactions between prosumers have attracted significant …
Mitigating Class Imbalance Issues in Electricity Theft Detection via a Sample-Weighted Loss
Recent advances in neural networks have significantly improved electricity theft detection,
achieving higher detection accuracy compared to earlier methods (eg, support vector …
achieving higher detection accuracy compared to earlier methods (eg, support vector …
ETDS: A Novel Electricity Theft Detection System for Highly Unbalanced Data in Smart Grids
Electricity theft detection (ETD) plays a crucial role in reducing nontechnical losses of power
transmission and distribution in smart grids. However, accurate ETD remains challenging …
transmission and distribution in smart grids. However, accurate ETD remains challenging …
[HTML][HTML] Dynamic electricity theft behavior analysis based on active learning and incremental learning in new power systems
Q Cai, P Li, Z Zhao, R Wang - International Journal of Electrical Power & …, 2024 - Elsevier
The analysis of energy theft behavior in new power systems is essential for energy
sustainable development and maintaining the stable operation of power grids. Traditional …
sustainable development and maintaining the stable operation of power grids. Traditional …
A Critical Review of Technical Case Studies for Electricity Theft Detection in Smart Grids: A New Paradigm Based Transformative Approach
Electricity theft detection (ETD) is a vital global concern that affects utility providers (UPs),
and non-technical losses (NTLs) are a major issue. While smart metering has helped to …
and non-technical losses (NTLs) are a major issue. While smart metering has helped to …
Data Driven Methods for Electricity Theft Detection in Advanced Metering Infrastructure
R Qi - 2024 - search.proquest.com
Abstract The Advanced Metering Infrastructure (AMI) is a critical component of modern smart
grids, collecting vast amounts of high-frequency power consumption data from customers …
grids, collecting vast amounts of high-frequency power consumption data from customers …