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What is Fault Location of Transmission Line Based On CNN-LSTM Double-Ended Combined Model about?

This paper presents a novel fault location model for transmission lines that combines Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks, utilizing Maximum Mean Discrepancy (MMD) for classifying different transmission lines. The proposed double-ended model autonomously extracts fault features and employs a Q-learning algorithm to optimize the model

Author

shinjh

Language

EN