Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM

Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM

A modern electric power system integrated with advanced technologies such as sensors and smart meters is referred to as a “smart grids”, aimed at enhancing electrical power delivery efficiency and reliability. However, fault location and prediction can become challenging when d...

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Bibliografische gegevens
Hoofdauteurs: Ahmed Sami Alhanaf, Murtaza Farsadi, Hasan Huseyin Balik
Formaat: Artikel
Taal:English
Gepubliceerd in: IEEE 2024-01-01
Reeks:IEEE Access
Onderwerpen:
Deep learning
smart grids
fault detection
fault classification and location
CNN
LSTM
Online toegang:https://ieeexplore.ieee.org/document/10508728/

Internet

https://ieeexplore.ieee.org/document/10508728/

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