Deep learning for cybersecurity in smart grids: Review and perspectives

Deep learning for cybersecurity in smart grids: Review and perspectives

Abstract Protecting cybersecurity is a non‐negotiable task for smart grids (SG) and has garnered significant attention in recent years. The application of artificial intelligence, particularly deep learning (DL), holds great promise for enhancing the cybersecurity of SG. Nevertheless, previous surve...

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Bibliographic Details
Main Authors: Jiaqi Ruan, Gaoqi Liang, Junhua Zhao, Huan Zhao, Jing Qiu, Fushuan Wen, Zhao Yang Dong
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Energy Conversion and Economics
Subjects:
artificial intelligence
big data
cyberattack
cybersecurity
deep learning
smart grid
Online Access:https://doi.org/10.1049/enc2.12091
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