[HTML][HTML] Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods

T Mazhar, HM Irfan, S Khan, I Haq, I Ullah, M Iqbal… - Future Internet, 2023 - mdpi.com
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 …

[HTML][HTML] Blockchain-enabled smart grid applications: Architecture, challenges, and solutions

B Appasani, SK Mishra, AV Jha, SK Mishra, FM Enescu… - Sustainability, 2022 - mdpi.com
The conventional electrical grid is undergoing substantial growth for reliable grid operation
and for more efficient and sustainable energy use. The traditional grid is now …

[HTML][HTML] A hybrid approach for alluring ads phishing attack detection using machine learning

MW Shaukat, R Amin, MMA Muslam, AH Alshehri, J Xie - Sensors, 2023 - mdpi.com
Phishing attacks are evolving with more sophisticated techniques, posing significant threats.
Considering the potential of machine-learning-based approaches, our research presents a …

[HTML][HTML] A comprehensive review on sustainable aspects of big data analytics for the smart grid

VK Ponnusamy, P Kasinathan, R Madurai Elavarasan… - Sustainability, 2021 - mdpi.com
The role of energy is cardinal for achieving the Sustainable Development Goals (SDGs)
through the enhancement and modernization of energy generation and management …

A novel stochastic blockchain-based energy management in smart cities using V2S and V2G

L Zhang, L Cheng, F Alsokhiry… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper proposes a secure management framework for optimal scheduling and operation
of energy systems in smart cities, which will bring balance in modern power systems. The …

Cyber-physical power systems: A comprehensive review about technologies drivers, standards, and future perspectives

MS Alvarez-Alvarado, C Apolo-Tinoco… - Computers and …, 2024 - Elsevier
The evolution of power systems into Cyber Physical Power Systems (CPPS), characterized
by the integration of information and communication technologies with traditional electrical …

An IoT-enabled stochastic operation management framework for smart grids

B Wang, H Ma, F Wang, U Dampage… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The idea of Internet of Things (IoT) has revolutionized the smart grids by providing the
opportunity for remote control and monitoring of the distributed generations (DGs), switches …

[HTML][HTML] Deep machine learning model-based cyber-attacks detection in smart power systems

A Almalaq, S Albadran, MA Mohamed - Mathematics, 2022 - mdpi.com
In this study, a deep learning-based attack detection model is proposed to address the
problem of system disturbances in energy systems caused by natural events like storms and …

[HTML][HTML] An effective distributed approach based machine learning for energy negotiation in networked microgrids

J Chen, K Alnowibet, A Annuk, MA Mohamed - Energy Strategy Reviews, 2021 - Elsevier
In recent years, the definition of the distributed energy management frameworks has
become the core of research due to its distinguished advantages including the less time …

[HTML][HTML] Exploring the efficacy of GRU model in classifying the signal to noise ratio of microgrid model

AA Alsulami, Q Abu Al-Haija, B Alturki, A Alqahtani… - Scientific Reports, 2024 - nature.com
Microgrids are small-scale energy system that supplies power to homes, businesses, and
industries. Microgrids can be considered as a trending technology in energy fields due to …