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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 …
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
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 …
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
Cyber-physical attacks are the main substantial threats facing the utilization and
development of the various smart grid technologies. Among these attacks, false data …
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 …
integration with various distributed components, including advanced metering infrastructure …
Online false data injection attack detection with wavelet transform and deep neural networks
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 …
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
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 …
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
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 …
power systems, the detector is vulnerable to false data injection attacks (FDIAs). Substantial …
Cyber-security of smart microgrids: A survey
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 …
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
Cyber–physical systems (CPSs) are confronted with major problems, such as high
proportions of renewable energy penetration and frequent extreme events, which severely …
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 …
tremendously. Torrential amounts of different electronic products are being manufactured …