A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems

<p dir="ltr">The integration of photovoltaic (PV) panels has allowed power distribution systems (PDSs) to regulate their voltage through the injection/absorption of reactive power. The deployment of information and communication technologies (ICTs), which is required for this scheme,...

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Bibliographic Details
Main Author:	Masoud Ahmadzadeh (21633053) (author)
Other Authors:	Ahmadreza Abazari (21633056) (author), Mohsen Ghafouri (21633059) (author), Amir Ameli (12512083) (author), S. M. Muyeen (14778337) (author)
Published:	2024
Subjects:	Engineering Electrical engineering Information and computing sciences Artificial intelligence Machine learning Distribution systems false data injection cyberattacks convolutional neural network photovoltaic voltage regulation Voltage control Voltage measurement Cyberattack Convolutional neural networks Uncertainty Reactive power Photovoltaic systems
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A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems

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