Detecting System Fault/Cyberattack within a Photovoltaic System Connected to the Grid: A Neural Network-Based Solution

The large spread of Distributed Energy Resources (DERs) and the related cyber-security issues introduce the need for monitoring. The proposed work focuses on an anomaly detection strategy based on the physical behavior of the industrial process. The algorithm extracts some measures of the physical p...

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Bibliographic Details

Published in:	Journal of Sensor and Actuator Networks
Main Authors:	Giovanni Battista Gaggero, Mansueto Rossi, Paola Girdinio, Mario Marchese
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Subjects:	distributed energy resources photovoltaic systems cyber-security anomaly detection neural networks autoencoder
Online Access:	https://www.mdpi.com/2224-2708/9/2/20