A Real-Time and Online Dynamic Reconfiguration against Cyber-Attacks to Enhance Security and Cost-Efficiency in Smart Power Microgrids Using Deep Learning

A Real-Time and Online Dynamic Reconfiguration against Cyber-Attacks to Enhance Security and Cost-Efficiency in Smart Power Microgrids Using Deep Learning

Ensuring the secure and cost-effective operation of smart power microgrids has become a significant concern for managers and operators due to the escalating damage caused by natural phenomena and cyber-attacks. This paper presents a novel framework focused on the dynamic reconfiguration of multi-mic...

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Bibliographic Details
Main Authors: Elnaz Yaghoubi, Elaheh Yaghoubi, Ziyodulla Yusupov, Mohammad Reza Maghami
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Technologies
Subjects:
cyber-attacks
dynamic reconfiguration
LSTM
energy management
multi-microgrids
Online Access:https://www.mdpi.com/2227-7080/12/10/197

Internet

https://www.mdpi.com/2227-7080/12/10/197

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