Detecting Cyberattacks on Electrical Storage Systems through Neural Network Based Anomaly Detection Algorithm

Detecting Cyberattacks on Electrical Storage Systems through Neural Network Based Anomaly Detection Algorithm

Distributed Energy Resources (DERs) are growing in importance Power Systems. Battery Electrical Storage Systems (BESS) represent fundamental tools in order to balance the unpredictable power production of some Renewable Energy Sources (RES). Nevertheless, BESS are usually remotely controlled by SCAD...

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Bibliographic Details
Main Authors: Giovanni Battista Gaggero, Roberto Caviglia, Alessandro Armellin, Mansueto Rossi, Paola Girdinio, Mario Marchese
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
cybersecurity
distributed energy resources
electrical battery storage systems
neural network
autoencoder
anomaly detection
Online Access:https://www.mdpi.com/1424-8220/22/10/3933

Internet

https://www.mdpi.com/1424-8220/22/10/3933

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