Fault detection and classification using deep learning method and neuro‐fuzzy algorithm in a smart distribution grid

Abstract This article proposes a deep learning (DL) model made of Long Short Term Memory (LSTM) and Adaptive Neuro Fuzzy Inference System (ANFIS) to detect fault in smart distribution grid assisted by communication systems using smart meter data. In smart grid, data analysis for fault identification...

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Bibliographic Details
Main Authors: Camille Franklin Mbey, Vinny Junior Foba Kakeu, Alexandre Teplaira Boum, Felix Ghislain Yem Souhe
Format: Article
Language:English
Published: Wiley 2023-11-01
Series:The Journal of Engineering
Subjects:
Online Access:https://doi.org/10.1049/tje2.12324