Intelligent Fault Detection and Classification Schemes for Smart Grids Based on Deep Neural Networks

Intelligent Fault Detection and Classification Schemes for Smart Grids Based on Deep Neural Networks

Effective fault detection, classification, and localization are vital for smart grid self-healing and fault mitigation. Deep learning has the capability to autonomously extract fault characteristics and discern fault categories from the three-phase raw of voltage and current signals. With the rise o...

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Bibliographic Details
Main Authors: Ahmed Sami Alhanaf, Hasan Huseyin Balik, Murtaza Farsadi
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Energies
Subjects:
smart grid (SG)
fault classification and detection
deep neural networks
ANN
CNN
Online Access:https://www.mdpi.com/1996-1073/16/22/7680

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