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

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 and dete...

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Bibliographic Details
Published in:	Journal of engineering (Stevenage, England) Vol. 2023; no. 11
Main Authors:	Mbey, Camille Franklin, Foba Kakeu, Vinny Junior, Boum, Alexandre Teplaira, Souhe, Felix Ghislain Yem
Format:	Journal Article
Language:	English
Published:	London John Wiley & Sons, Inc 01.11.2023 Wiley
Subjects:	Adaptive systems Algorithms Artificial neural networks Classification Communication Communications systems Consumer behavior Consumers Data analysis Data processing Deep learning Demand side management distribution networks Effectiveness electric current control Electricity Electricity distribution Energy Fault detection Fault location Fuzzy logic Fuzzy systems Machine learning Parameter identification Parameter robustness Performance evaluation Smart grid Smart meters
ISSN:	2051-3305, 2051-3305
Online Access:	Get full text
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