Electricity theft detection in smart grid systems: A CNN-LSTM based approach
Among an electricity provider's non-technical losses, electricity theft has the most severe and
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
dangerous effects. Fraudulent electricity consumption decreases the supply quality …
[HTML][HTML] Electricity-theft detection for smart grid security using smart meter data: A deep-CNN based approach
EU Haq, C Pei, R Zhang, H Jianjun, F Ahmad - Energy Reports, 2023 - Elsevier
Electricity theft has a considerable negative effect on energy suppliers and power
infrastructure, leading to non-technical losses and business losses. Power quality …
infrastructure, leading to non-technical losses and business losses. Power quality …
Hybrid-order representation learning for electricity theft detection
Electricity theft is the primary cause of electrical losses in power systems, which severely
harms the economic benefits of electricity providers and threatens the safety of the power …
harms the economic benefits of electricity providers and threatens the safety of the power …
A robust hybrid deep learning model for detection of non-technical losses to secure smart grids
For dealing with the electricity theft detection in the smart grids, this article introduces a
hybrid deep learning model. The model tackles various issues such as class imbalance …
hybrid deep learning model. The model tackles various issues such as class imbalance …
Attention-based DenseNet for pneumonia classification
K Wang, P Jiang, J Meng, X Jiang - Irbm, 2022 - Elsevier
Objective The structural complexity and uneven gray distribution of pneumonia images
seriously affect the accuracy of pneumonia classification. As DenseNet has the characteristic …
seriously affect the accuracy of pneumonia classification. As DenseNet has the characteristic …
High-accuracy and adaptive fault diagnosis of high-speed train bogie using dense-squeeze network
Y Zhang, N Qin, D Huang, B Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As one of the most important systems of high-speed train (HST), bogie system matters when
it comes to the safety and reliability of HST operation. In order to strengthen feature …
it comes to the safety and reliability of HST operation. In order to strengthen feature …
Electricity theft detection with self-attention
P Finardi, I Campiotti, G Plensack, RD de Souza… - arXiv preprint arXiv …, 2020 - arxiv.org
In this work we propose a novel self-attention mechanism model to address electricity theft
detection on an imbalanced realistic dataset that presents a daily electricity consumption …
detection on an imbalanced realistic dataset that presents a daily electricity consumption …
Electricity theft detection to reduce non-technical loss using support vector machine in smart grid
Among the various reason behind Non-technical losses in smart grid, losses due to
electricity theft have become major apprehension in power system industries. A significant …
electricity theft have become major apprehension in power system industries. A significant …
A new electricity theft detection method using hybrid adaptive sampling and pipeline machine learning
Electricity theft not only results in higher electricity costs for regular paying customers but is
also a safety threat to the public due to illegal power connections made for cheating. Many …
also a safety threat to the public due to illegal power connections made for cheating. Many …
Neural-architecture-search-based multiobjective cognitive automation system
Currently, deep-learning-based cognitive automation for decision-making in industrial
informatics is a new hot topic in the field of cognitive computing, among which multiobjective …
informatics is a new hot topic in the field of cognitive computing, among which multiobjective …