LSTM-based low-impedance fault and high-impedance fault detection and classification

Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems

Soufiane Belagoune, Noureddine Bali, Azzeddine Bakdi et al. · Measurement · 2021 · 280 citations · Full text

Computing, Computer Science, Electrical Engineering +17

Time‐frequency transform‐based differential scheme for microgrid protection

Susmita Kar, Subhransu Rajan Samantaray · IET Generation Transmission & Distribution · 2013 · 237 citations · Full text

Engineering, Electrical Engineering, Critical Infrastructure Protection +16

Fault classification in power system distribution network integrated with distributed generators using CNN

Praveen Rai, Narendra D. Londhe, Ritesh Raj · Electric Power Systems Research · 2020 · 175 citations

Computing, Computer Science, Electrical Engineering +16

High-Impedance Fault Detection Based on Nonlinear Voltage–Current Characteristic Profile Identification

Bin Wang, Jianzhao Geng, Xinzhou Dong · IEEE Transactions on Smart Grid · 2016 · 173 citations

Engineering, Electrical Engineering, Circuit Theory +16

Ultrafast Transmission Line Fault Detection Using a DWT-Based ANN

Ahmad Abdullah · IEEE Transactions on Industry Applications · 2017 · 145 citations

Engineering, Computer Science, Electrical Engineering +17