Review on interpretable machine learning in smart grid
In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …
shown remarkable performance in many tasks of the smart grid field. The representation …
A review of AI-based cyber-attack detection and mitigation in microgrids
In this paper, the application and future vision of Artificial Intelligence (AI)-based techniques
in microgrids are presented from a cyber-security perspective of physical devices and …
in microgrids are presented from a cyber-security perspective of physical devices and …
Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network
Contemporary cyber–physical systems have evolved into highly autonomous and distributed
entities, enabled by cutting-edge control frameworks and advanced communication …
entities, enabled by cutting-edge control frameworks and advanced communication …
[HTML][HTML] Data-driven energy management of virtual power plants: A review
A virtual power plant (VPP) refers to an active aggregator of heterogeneous distributed
energy resources (DERs), which creates a promising pathway to expand renewable energy …
energy resources (DERs), which creates a promising pathway to expand renewable energy …
Mitigating Cyber Anomalies in Virtual Power Plants Using Artificial-Neural-Network-Based Secondary Control with a Federated Learning-Trust Adaptation
Virtual power plants (VPPs) are susceptible to cyber anomalies due to their extensive
communication layer. FL-trust, an improved federated learning (FL) approach, has been …
communication layer. FL-trust, an improved federated learning (FL) approach, has been …
Enhancing Smart Grid Security: An Data-Driven Anomaly Detection Framework
The integration of Information and Communication Technologies (ICT) into traditional power
grids has led to the evolution of smart grids, revolutionizing energy management. However …
grids has led to the evolution of smart grids, revolutionizing energy management. However …
Role of artificial neural networks in fortifying cybersecurity: A review
A Yadav, V Aggarwal, S Bansal - AIP Conference Proceedings, 2025 - pubs.aip.org
The paper explores the indispensable role of Artificial Neural Networks (ANNs) in bolstering
cybersecurity, with a particular emphasis on three domains: intrusion detection, malware …
cybersecurity, with a particular emphasis on three domains: intrusion detection, malware …