Reducing annotation efforts in electricity theft detection through optimal sample selection
Supervised machine learning models are receiving increasing attention in electricity theft
detection due to their high detection accuracy. However, their performance depends on a …
detection due to their high detection accuracy. However, their performance depends on a …
A novel data driven approach for combating energy theft in urbanized smart grids using artificial intelligence
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 …
when electricity is consumed without being billed. Several methods are available for …
Machine learning techniques for energy theft detection in AMI
A Maamar, K Benahmed - … of the 2018 international conference on …, 2018 - dl.acm.org
Advanced Metering Infrastructure (AMI and smart meter) is considered as the basic building
block for the development of smart grid in the power distribution system. a Smart meter is …
block for the development of smart grid in the power distribution system. a Smart meter is …
Electricity theft detection in IoT-based smart grids using a parameter-tuned bidirectional LSTM with pre-trained feature learning mechanism
M Krishnamoorthy, JR Albert - Electrical Engineering, 2024 - Springer
The most significant issue today is electricity theft (ET) which causes much loss to electricity
boards. The development of smart grids (SGs) is crucial for ET detection (ETD) because …
boards. The development of smart grids (SGs) is crucial for ET detection (ETD) because …
Electricity theft detection using CNN-GRU and manta ray foraging optimization algorithm
Besides the non-technical losses of power companies, theft of electricity is the most serious
and dangerous one. The fraudulent power consumption degrades the quality of supply and …
and dangerous one. The fraudulent power consumption degrades the quality of supply and …
A Hybrid Deep Neural Network for Electricity Theft Detection Using Intelligent Antenna‐Based Smart Meters
This paper presents a hybrid model, named as hybrid deep neural network, which combines
convolutional neural network, particle swarm optimization, and gated recurrent unit, termed …
convolutional neural network, particle swarm optimization, and gated recurrent unit, termed …
Electricity theft detection using Euclidean and graph convolutional neural networks
The widespread penetration of advanced metering infrastructure brings an opportunity to
detect electricity theft by analyzing the electricity consumption data collected from smart …
detect electricity theft by analyzing the electricity consumption data collected from smart …
Electricity theft detection based on ReliefF feature selection algorithm and BP neural network
L Yang, J Wang, N Zhou, Z Wang… - Journal of Circuits, Systems …, 2023 - World Scientific
As China's distributed energy is still in the development stage, energy transmission loss will
inevitably occur in the transmission process from the source end to the load end. To reduce …
inevitably occur in the transmission process from the source end to the load end. To reduce …
Electricity Theft Detection Based on Temporal Convolutional Networks with Self-Attention
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 …
in significant revenue loss for electric utility companies and has a negative impact on the …
Detection of electricity theft using data processing and LSTM method in distribution systems
Electricity theft is a big problem faced by all energy distribution services and continues to
rising. Therefore, studies on electricity theft detection techniques have increased in recent …
rising. Therefore, studies on electricity theft detection techniques have increased in recent …