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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-11-01
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Series: | The Journal of Engineering |
Subjects: | |
Online Access: | https://doi.org/10.1049/tje2.12324 |