Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review

AA Khan, AA Laghari, M Rashid, H Li, AR Javed… - Sustainable Energy …, 2023 - Elsevier
Artificial Intelligence (AI) integrated with Blockchain distributed ledger technology (BDLT)
has become the most attractive research area in the domain of renewable energy and …

Resilient consensus control for multi-agent systems: A comparative survey

J Wang, X Deng, J Guo, Z Zeng - Sensors, 2023 - mdpi.com
Due to the openness of communication network and the complexity of system structures,
multi-agent systems are vulnerable to malicious network attacks, which can cause intense …

Cyberattacks in smart grids: challenges and solving the multi-criteria decision-making for cybersecurity options, including ones that incorporate artificial intelligence …

AA Bouramdane - Journal of Cybersecurity and Privacy, 2023 - mdpi.com
Smart grids have emerged as a transformative technology in the power sector, enabling
efficient energy management. However, the increased reliance on digital technologies also …

[HTML][HTML] A fault identification method using LSTM for a closed-loop distribution system protective relay

SR Han, YS Kim - International Journal of Electrical Power & Energy …, 2023 - Elsevier
We use machine-learning to train communication-free protective relays of a closed-loop
distribution system. The proposed algorithm in the protective relays affords primary …

[HTML][HTML] Airline operational disruptions and loss-reduction investment

K Lee - Transportation Research Part B: Methodological, 2023 - Elsevier
Airlines have experienced disruptions from random shocks such as extreme weather
conditions and airport congestion. Airlines thus have invested in improving their flight and …

A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems

M Elnour, M Noorizadeh, M Shakerpour… - IEEE …, 2023 - ieeexplore.ieee.org
In light of the advancement of the technologies used in industrial control systems, securing
their operation has become crucial, primarily since their activity is consistently associated …

Online Network traffic anomaly detection method combining OS-ELM and SADE

S Dai, Y Zhao, J Huang, X Wang, G Zhao… - IEEE …, 2023 - ieeexplore.ieee.org
Network traffic anomaly detection methods can detect traffic that is significantly different from
normal traffic by analyzing network traffic, and are seen as an effective means to detect …

Cyberattack correlation and mitigation for distribution systems via machine learning

J Appiah-Kubi, CC Liu - IEEE Open Access Journal of Power …, 2023 - ieeexplore.ieee.org
Cyber-physical system security for electric distribution systems is critical. In direct switching
attacks, often coordinated, attackers seek to toggle remote-controlled switches in the …

Cyber-Physical Security of Power Distribution Systems: Attack Detection and Localization Strategies and Testbed Implementation

MMS Khan - 2023 - search.proquest.com
The incorporation of distributed energy resources (DER), automation, remote control, and
data acquisition technologies into the modern electric power grid offers an extensive …

Environment poisoning in reinforcement learning: attacks and resilience

H Xu - 2023 - dr.ntu.edu.sg
As Reinforcement Learning (RL) systems have been widely adopted in real-world
applications, the security of these systems has become increasingly significant. Thus, it is …