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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Journal of engineering (Stevenage, England) Ročník 2023; číslo 11
Hlavní autori:	Mbey, Camille Franklin, Foba Kakeu, Vinny Junior, Boum, Alexandre Teplaira, Souhe, Felix Ghislain Yem
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London John Wiley & Sons, Inc 01.11.2023 Wiley
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!