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,...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Masoud Ahmadzadeh (21633053) (author)
مؤلفون آخرون:	Ahmadreza Abazari (21633056) (author), Mohsen Ghafouri (21633059) (author), Amir Ameli (12512083) (author), S. M. Muyeen (14778337) (author)
منشور في:	2024
الموضوعات:	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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