AI Techniques in Detection of NTLs: A Comprehensive Review

R Yadav, M Yadav, Ranvijay, Y Sawle… - … Methods in Engineering, 2024 - Springer
In the operation of power grid, worldwide, non-technical losses (NTLs) occur in a massive
amount of proportion which is observed up to 40% of the total electric transmission and …

[PDF][PDF] COMSATS University Islamabad

M Ali, B Tariq - 2022 - researchgate.net
1 Energy management and efficient asset utilization play an important role in the economic
development of a country. The electricity produced at the power station faces two types of …

A short-term energy consumption forecasting method for attention mechanisms based on spatio-temporal deep learning

M Han, L Fan - Computers and Electrical Engineering, 2024 - Elsevier
Short-term energy consumption forecasting is the foundation of anomaly detection,
scheduling and energy-saving control in manufacturing system. Existing methods do not …

Efficient one-class false data detector based on deep SVDD for smart grids

H Habbak, M Mahmoud, MM Fouda, M Alsabaan… - Energies, 2023 - mdpi.com
In the smart grid, malicious consumers can hack their smart meters to report false power
consumption readings to steal electricity. Developing a machine-learning based detector for …

Anomaly detection in smart grid using optimized extreme gradient boosting with SCADA system

A Sharma, R Tiwari - Electric Power Systems Research, 2024 - Elsevier
The significance of anomaly detection is paramount for ensuring the security and better cost-
efficiency of smart grids. The extensive installation of advanced metering infrastructure (AMI) …

Electricity theft detection for energy optimization using deep learning models

Pamir, N Javaid, MU Javed, MA Houran… - Energy Science & …, 2023 - Wiley Online Library
The rapid increase in nontechnical loss (NTL) has become a principal concern for
distribution system operators (DSOs) over the years. Electricity theft makes up a major part of …

Electricity Theft Detection Based on Temporal Convolutional Networks with Self-Attention

M Markovska, B Gerazov, A Zlatkova… - … on Systems, Signals …, 2023 - ieeexplore.ieee.org
The issue of Non-Technical Losses (NTL) is a major concern for power systems, as it results
in significant revenue loss for electric utility companies and has a negative impact on the …

Deep semi-supervised electricity theft detection in AMI for sustainable and secure smart grids

R Qi, Q Li, Z Luo, J Zheng, S Shao - Sustainable Energy, Grids and …, 2023 - Elsevier
Electricity theft is a major issue that affects the sustainability and security of smart grids. This
paper proposes a deep semi-supervised method for electricity theft detection in the …

Exploiting machine learning to tackle peculiar consumption of electricity in power grids: A step towards building green smart cities

A Ali, L Khan, N Javaid, M Aslam… - IET Generation …, 2024 - Wiley Online Library
The increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to
use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those …

A novel data driven approach for combating energy theft in urbanized smart grids using artificial intelligence

N Shahzadi, N Javaid, M Akbar… - Expert Systems with …, 2024 - Elsevier
Electricity Theft (ET) causes monetary losses for power utilities in the energy sector. It occurs
when electricity is consumed without being billed. Several methods are available for …