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 dynamic f...

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Główni autorzy:	Ahmed Sami Alhanaf, Murtaza Farsadi, Hasan Huseyin Balik
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2024-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Deep learning smart grids fault detection fault classification and location CNN LSTM
Dostęp online:	https://ieeexplore.ieee.org/document/10508728/
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