Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …
[HTML][HTML] A survey of digital twin techniques in smart manufacturing and management of energy applications
With the continuous advancement and exploration of science and technology, the future
trend of energy technology will be the deep integration of digitization, networking …
trend of energy technology will be the deep integration of digitization, networking …
[HTML][HTML] Smart city and cyber-security; technologies used, leading challenges and future recommendations
C Ma - Energy Reports, 2021 - Elsevier
Today, some cities around the world have tended to use new technologies and become
smart city. New technologies improve the quality of citizens' life. However, the use of any …
smart city. New technologies improve the quality of citizens' life. However, the use of any …
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 …
systems offers the potential to accurately predict and manage the behavior of these systems …
Load frequency control in smart grids: A review of recent developments
This study provides a comprehensive and fresh review of load frequency control (LFC) in
multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep …
multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep …
Securing industrial control systems: components, cyber threats, and machine learning-driven defense strategies
Industrial Control Systems (ICS), which include Supervisory Control and Data Acquisition
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
(SCADA) systems, Distributed Control Systems (DCS), and Programmable Logic Controllers …
A lightweight smart contracts framework for blockchain‐based secure communication in smart grid applications
Energy is a crucial need in today's world for powering homes, businesses, transportation,
and industrial processes. Fossil fuels, such as oil, coal, and natural gas, have been the …
and industrial processes. Fossil fuels, such as oil, coal, and natural gas, have been the …
Resilience assessment and planning in power distribution systems: Past and future considerations
Over the past decade, the frequency and intensity of extreme weather events have
significantly increased worldwide, leading to widespread power outages and blackouts. As …
significantly increased worldwide, leading to widespread power outages and blackouts. As …
Security in the internet of things application layer: requirements, threats, and solutions
M Abbasi, M Plaza-Hernández, J Prieto… - IEEE …, 2022 - ieeexplore.ieee.org
Communication systems and networks are evolving as an integral part of not only of our
everyday life but also as a part of the industry, fundamental infrastructures, companies, etc …
everyday life but also as a part of the industry, fundamental infrastructures, companies, etc …
[Retracted] Smart Grid Security Based on Blockchain with Industrial Fault Detection Using Wireless Sensor Network and Deep Learning Techniques
M Kandasamy, S Anto, K Baranitharan… - Journal of …, 2023 - Wiley Online Library
Low‐cost monitoring and automation solutions for smart grids have been made viable by
recent advancements in embedded systems and wireless sensor networks (WSNs). A well …
recent advancements in embedded systems and wireless sensor networks (WSNs). A well …