Deng, Lichuan https://orcid.org/0009-0009-8976-8676
Wu, Hao
Funding for this research was provided by:
Sichuan University of Science & Engineering graduate innovation fund (Y2023309)
The artificial intelligence key laboratory of Sichuan province Foundation (2019RYY01)
The Project of Sichuan provincial science and Technology Department (2022YFS0518)
Article Title: Fault section location method of active distribution network based on GAF and improved dual-channel CNN-BiLSTM parallel network
Journal Title: Engineering Research Express
Article Type: paper
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Publication dates
Date Received: 2024-11-03
Date Accepted: 2025-03-17
Online publication date: 2025-03-26