[HTML][HTML] A comprehensive review of recent advances in smart grids: A sustainable future with renewable energy resources

I Alotaibi, MA Abido, M Khalid, AV Savkin - Energies, 2020 - mdpi.com
The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …

A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities

H Habibzadeh, BH Nussbaum, F Anjomshoa… - Sustainable Cities and …, 2019 - Elsevier
Abstract Deployments of Cyber Physical Systems (CPSs) in smart cities are poised to
significantly improve healthcare, transportation services, utilities, safety, and environmental …

A survey on the detection algorithms for false data injection attacks in smart grids

AS Musleh, G Chen, ZY Dong - IEEE Transactions on Smart …, 2019 - ieeexplore.ieee.org
Cyber-physical attacks are the main substantial threats facing the utilization and
development of the various smart grid technologies. Among these attacks, false data …

Wide and deep convolutional neural networks for electricity-theft detection to secure smart grids

Z Zheng, Y Yang, X Niu, HN Dai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Electricity theft is harmful to power grids. Integrating information flows with energy flows,
smart grids can help to solve the problem of electricity theft owning to the availability of …

[HTML][HTML] Electricity theft detection in smart grid systems: A CNN-LSTM based approach

MN Hasan, RN Toma, AA Nahid, MMM Islam, JM Kim - Energies, 2019 - mdpi.com
Among an electricity provider's non-technical losses, electricity theft has the most severe and
dangerous effects. Fraudulent electricity consumption decreases the supply quality …

Cyber security of a power grid: State-of-the-art

CC Sun, A Hahn, CC Liu - International Journal of Electrical Power & …, 2018 - Elsevier
The integration of computing and communication capabilities with the power grid has led to
numerous vulnerabilities in the cyber-physical system (CPS). This cyber security threat can …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Electricity theft detection in smart grids based on deep neural network

LJ Lepolesa, S Achari, L Cheng - Ieee Access, 2022 - ieeexplore.ieee.org
Electricity theft is a global problem that negatively affects both utility companies and
electricity users. It destabilizes the economic development of utility companies, causes …

Decision tree and SVM-based data analytics for theft detection in smart grid

A **dal, A Dua, K Kaur, M Singh… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Nontechnical losses, particularly due to electrical theft, have been a major concern in power
system industries for a long time. Large-scale consumption of electricity in a fraudulent …

Electricity theft detection in AMI using customers' consumption patterns

P Jokar, N Arianpoo, VCM Leung - IEEE Transactions on Smart …, 2015 - ieeexplore.ieee.org
As one of the key components of the smart grid, advanced metering infrastructure brings
many potential advantages such as load management and demand response. However …