Electricity theft detection based on contrastive learning and non-intrusive load monitoring

A Gao, F Mei, J Zheng, H Sha, M Guo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Electricity theft has caused enormous damage to grid's safety and economy globally,
bringing plentiful attention to electricity theft detection. However, the inherent problems of …

Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data

P Massaferro, JM Di Martino… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The technological upgrade of power utilities to smart metering is a process that can take
several years. Meanwhile, smart meters coexist with previous generations of digital and …

Detection of electricity theft in develo** countries-A machine learning approach

L Grant, H Latchman, K Alli - Trends in Computer Science and …, 2023 - engineegroup.us
In develo** countries, energy theft negatively affects the growth of utilities through loss of
revenue and damage to the grid. The size and variety of the utility data set require extracting …

Smart grid public datasets: Characteristics and associated applications

E Altamimi, A Al‐Ali, QM Malluhi, AK Al‐Ali - IET Smart Grid, 2024 - Wiley Online Library
The development of smart grids, traditional power grids, and the integration of internet of
things devices have resulted in a wealth of data crucial to advancing energy management …

Fraud Detection Using Event Logs with LSTM and Gradient Boosting

E Acevedo, P Massaferro, A Fernández… - 2023 IEEE Power & …, 2023 - ieeexplore.ieee.org
Automatic non-technical power loss detection methods have advanced significantly as data
volume has increased with smart meter installation. Recently, academic works have mainly …

Detecting Energy Theft through Assignment of AI Detected Buildings to Registered Consumer Units: A Novel Approach

AM Kaminski, FG Carloto… - 2023 15th Seminar …, 2023 - ieeexplore.ieee.org
This paper presents a novel approach for detecting energy theft within the electrical network.
The method utilizes satellite imagery to identify unauthorized connections by cross …

Ntl detection: Optimization of inspection routes weighing mobility cost and detection likelihood

P Massaferro, JM Di Martino… - 2021 IEEE PES …, 2021 - ieeexplore.ieee.org
Countermeasures to Non-Techincal Losses (NTL) are primarily motivated by the high
economic losses they represent. Most solutions focus on detecting suspicious behavior …

Non-technical loss identification by consumption profile analysis

DFO Melo - 2022 - digibuo.uniovi.es
In this thesis the non-technical loss (NTL) identification problem is addressed both
theoretically and in practice by the evaluation of a method. The theoretical part starts by …

[CITATION][C] Fraud detection on power grids while transitioning to smart meters by leveraging multi-resolution consumption data

P Massaferro Saquieres, M Di Martino… - … on Smart Grid, vol. 13, no …, 2022 - IEEE

[CITATION][C] NTL detection: Optimization of inspection routes weighing mobility cost and detection likelihood.

P Massaferro Saquieres, M Di Martino… - … Perú, 15-17 sep. 2021, pp …, 2021 - IEEE