Additive manufacturing of soft magnets for electrical machines—A review
TN Lamichhane, L Sethuraman, A Dalagan… - Materials Today …, 2020 - Elsevier
With growing interest in electrification from clean energy technologies, such as wind power,
and use of pure electric powertrains in various applications, the demand for next-generation …
and use of pure electric powertrains in various applications, the demand for next-generation …
Security of networked control systems subject to deception attacks: A survey
ZH Pang, LZ Fan, H Guo, Y Shi, R Chai… - … Journal of Systems …, 2022 - Taylor & Francis
A networked control system (NCS), which integrates various physical components by
utilising communication networks, is a complex intelligent control system with high flexibility …
utilising communication networks, is a complex intelligent control system with high flexibility …
A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid
K Bitirgen, ÜB Filik - International Journal of Critical Infrastructure Protection, 2023 - Elsevier
A smart grid (SG) consists of an interconnection of an electrical grid, communication, and
information networks. The rapid developments of SG technologies have resulted in complex …
information networks. The rapid developments of SG technologies have resulted in complex …
Survey of machine learning methods for detecting false data injection attacks in power systems
Over the last decade, the number of cyber attacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, false data injection …
physical and economic damages has increased rapidly. Among them, false data injection …
Locational detection of the false data injection attack in a smart grid: A multilabel classification approach
State estimation is critical to the monitoring and control of smart grids. Recently, the false
data injection attack (FDIA) is emerging as a severe threat to state estimation. Conventional …
data injection attack (FDIA) is emerging as a severe threat to state estimation. Conventional …
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
Recent advances in intrusion detection systems based on machine learning have indeed
outperformed other techniques, but struggle with detecting multiple classes of attacks with …
outperformed other techniques, but struggle with detecting multiple classes of attacks with …
Deep learning-based multilabel classification for locational detection of false data injection attack in smart grids
D Mukherjee, S Chakraborty, S Ghosh - Electrical Engineering, 2022 - Springer
With the recent advancement in smart grid technology, real-time monitoring of grid is utmost
essential. State estimation-based solutions provide a critical tool in monitoring and control of …
essential. State estimation-based solutions provide a critical tool in monitoring and control of …
A review on distribution system state estimation uncertainty issues using deep learning approaches
Y Raghuvamsi, K Teeparthi - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
This study highlights the research works on different uncertainty issues encountered in
distribution system state estimation (DSSE). The DSSE plays a crucial role since the …
distribution system state estimation (DSSE). The DSSE plays a crucial role since the …
[HTML][HTML] A review on machine learning techniques for secured cyber-physical systems in smart grid networks
The smart grid (SG) is an advanced cyber-physical system (CPS) that integrates power grid
infrastructure with information and communication technologies (ICT). This integration …
infrastructure with information and communication technologies (ICT). This integration …
Trustiness-based hierarchical decentralized federated learning
Y Li, X Wang, R Sun, X Xie, S Ying, S Ren - Knowledge-Based Systems, 2023 - Elsevier
Federated Learning (FL) breaks the “data island” and lets clients cooperate in training a
shared model with private data locally. And hierarchical framework is used in FL to alleviate …
shared model with private data locally. And hierarchical framework is used in FL to alleviate …