Machine learning driven smart electric power systems: Current trends and new perspectives

MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

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 …

[HTML][HTML] State-of-the-art artificial intelligence techniques for distributed smart grids: A review

SS Ali, BJ Choi - Electronics, 2020 - mdpi.com
The power system worldwide is going through a revolutionary transformation due to the
integration with various distributed components, including advanced metering infrastructure …

Online false data injection attack detection with wavelet transform and deep neural networks

JQ James, Y Hou, VOK Li - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
State estimation is critical to the operation and control of modern power systems. However,
many cyber-attacks, such as false data injection attacks, can circumvent conventional …

Security risk modeling in smart grid critical infrastructures in the era of big data and artificial intelligence

A Chehri, I Fofana, X Yang - Sustainability, 2021 - mdpi.com
Smart grids (SG) emerged as a response to the need to modernize the electricity grid. The
current security tools are almost perfect when it comes to identifying and preventing known …

Joint adversarial example and false data injection attacks for state estimation in power systems

J Tian, B Wang, Z Wang, K Cao, J Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Although state estimation using a bad data detector (BDD) is a key procedure employed in
power systems, the detector is vulnerable to false data injection attacks (FDIAs). Substantial …

Cyber-security of smart microgrids: A survey

F Nejabatkhah, YW Li, H Liang, R Reza Ahrabi - Energies, 2020 - mdpi.com
In this paper, the cyber-security of smart microgrids is thoroughly discussed. In smart grids,
the cyber system and physical process are tightly coupled. Due to the cyber system's …

A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems

D Zhang, C Li, HH Goh, T Ahmad, H Zhu, H Liu, T Wu - Renewable Energy, 2022 - Elsevier
Cyber–physical systems (CPSs) are confronted with major problems, such as high
proportions of renewable energy penetration and frequent extreme events, which severely …

Sustainable security for the internet of things using artificial intelligence architectures

C Iwendi, SU Rehman, AR Javed, S Khan… - ACM Transactions on …, 2021 - dl.acm.org
In this digital age, human dependency on technology in various fields has been increasing
tremendously. Torrential amounts of different electronic products are being manufactured …