[HTML][HTML] A comprehensive review on the role of artificial intelligence in power system stability, control, and protection: Insights and future directions

I Alhamrouni, NH Abdul Kahar, M Salem, M Swadi… - Applied Sciences, 2024 - mdpi.com
This review comprehensively examines the burgeoning field of intelligent techniques to
enhance power systems' stability, control, and protection. As global energy demands …

Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods

YL Khaleel, MA Habeeb, AS Albahri… - Journal of Intelligent …, 2024 - degruyter.com
This study aims to perform a thorough systematic review investigating and synthesizing
existing research on defense strategies and methodologies in adversarial attacks using …

[HTML][HTML] Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems

I Elabbassi, M Khala, O Eloutassi - Results in Engineering, 2024 - Elsevier
This study addresses the critical issue of energy management in micro-grid (MG) systems
incorporating renewable energy sources and hydrogen storage. The research introduces an …

Securing smart manufacturing by integrating anomaly detection with zero-knowledge proofs

A Salam, M Abrar, F Amin, F Ullah, IA Khan… - IEEE …, 2024 - ieeexplore.ieee.org
In the rapidly advancing domain of smart manufacturing, securing data integrity and
preventing unauthorized access are critical challenges. This study introduces a novel …

Anomaly detection and state correction in smart grid using ekf and data compensation techniques

P Hu, W Gao, Y Li, X Guo, F Hua… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
The smart grid is built on an integrated and high-speed communication network, which
renders it more vulnerable to cyber-attacks. False data injection attacks (FDIAs) and sudden …

State-of-the-Art Analysis of Blockchain-Based Industrial IoT (IIoT) for Smart Grids

A Meydani, H Shahinzadeh… - … on Technology and …, 2024 - ieeexplore.ieee.org
In recent times, there has been a growing fascination in the blockchain technology (BC),
leading to the development of many applications leveraging its attributes such as …

[HTML][HTML] A critical review on intelligent-based techniques for detection and mitigation of cyberthreats and cascaded failures in cyber-physical power systems

OO Tooki, OM Popoola - Renewable Energy Focus, 2024 - Elsevier
The advent of advanced technologies in power and energy systems is fortifying the grid's
resilience and enhancing the availability of power supply through a network of electrical and …

Deep learning-based integrated attack detection framework to protect distance relays against cyberattacks

JK Narang, B Bag - Electric Power Systems Research, 2024 - Elsevier
The cyber security of communication-assisted intelligent relays at the IEC61850-enabled
modern digital substations has become a prime concern among power companies and …

SAFEGUARDING STABILITY: STRATEGIES FOR ADDRESSING DYNAMIC SYSTEM VARIATIONS IN POWER GRID CYBERSECURITY

G Erick, F Navid - EPH-International Journal of Science And …, 2023 - ephijse.com
EPH - International Journal Of Science And Engineering SAFEGUARDING STABILITY:
STRATEGIES FOR ADDRESSING DYNAMIC SYSTEM VARIATIO Page 1 Volume-9 | Issue-3 …

Employing Machine Learning Algorithms to Identify False Data Injection in Smart Grid

M Tajdinian, M Mohammadpourfard… - 2024 9th International …, 2024 - ieeexplore.ieee.org
Enhancement in demand of electrical energy from industrial or residential consumers has
resulted in encouraging policy makers to utilize of new generation of power network named …