[HTML][HTML] 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] Blockchain-enabled smart grid applications: Architecture, challenges, and solutions
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 …
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
Phishing attacks are evolving with more sophisticated techniques, posing significant threats.
Considering the potential of machine-learning-based approaches, our research presents a …
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 …
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 …
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 …
by the integration of information and communication technologies with traditional electrical …
An IoT-enabled stochastic operation management framework for smart grids
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 …
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 …
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 …
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
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 …
industries. Microgrids can be considered as a trending technology in energy fields due to …