Incorporation of blockchain technology for different smart grid applications: Architecture, prospects, and challenges

M Waseem, M Adnan Khan, A Goudarzi, S Fahad… - Energies, 2023 - mdpi.com
Smart grid integrates computer, communication, and sensing technologies into existing
power grid networks to achieve significant informatization-related advantages. It will provide …

Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Ensemble model based on hybrid deep learning for intrusion detection in smart grid networks

U AlHaddad, A Basuhail, M Khemakhem, FE Eassa… - Sensors, 2023 - mdpi.com
The Smart Grid aims to enhance the electric grid's reliability, safety, and efficiency by
utilizing digital information and control technologies. Real-time analysis and state estimation …

[HTML][HTML] Industrial cyber-physical systems protection: A methodological review

R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey

P Boopathy, M Liyanage, N Deepa, M Velavali… - Computer Science …, 2024 - Elsevier
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

Enhancing cyber-resiliency of DER-based smart grid: A survey

M Liu, F Teng, Z Zhang, P Ge, M Sun… - … on Smart Grid, 2024 - ieeexplore.ieee.org
The rapid development of information and communications technology has enabled the use
of digital-controlled and software-driven distributed energy resources (DERs) to improve the …

Review of cybersecurity analysis in smart distribution systems and future directions for using unsupervised learning methods for cyber detection

SJ Pinto, P Siano, M Parente - Energies, 2023 - mdpi.com
In a physical microgrid system, equipment failures, manual misbehavior of equipment, and
power quality can be affected by intentional cyberattacks, made more dangerous by the …

[HTML][HTML] Machine learning for securing Cyber–Physical Systems under cyber attacks: A survey

C Fei, J Shen - Franklin Open, 2023 - Elsevier
With the proliferation of cyber attacks targeting cyber–physical systems (CPS), ensuring the
security of CPS under such attacks has become increasingly challenging. Machine learning …

Gitm: A gini index-based trust mechanism to mitigate and isolate sybil attack in rpl-enabled smart grid advanced metering infrastructures

M Hassan, N Tariq, A Alsirhani, A Alomari… - IEEE …, 2023 - ieeexplore.ieee.org
The smart grid relies on Advanced Metering Infrastructure (AMI) to function. Because of the
significant packet loss and slow transmission rate of the wireless connection between smart …

A proficient ZESO-DRKFC model for smart grid SCADA security

OBJ Rabie, PK Balachandran, M Khojah, S Selvarajan - Electronics, 2022 - mdpi.com
Smart grids are complex cyber-physical systems that incorporate smart devices'
communication capabilities into the grid to enable remote management and the control of …