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Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
Open Access
Feeder loss estimation of transformer in long-short memory network, based on FCM clustering
Chang Liu
Chang Liu
Electric Power Research Institute of State Grid Sichuan Electric Power Company
Chengdu, China
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Liu, Chang
,
Lin Xu
Lin Xu
Electric Power Research Institute of State Grid Sichuan Electric Power Company
Chengdu, China
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Xu, Lin
,
Qian Xie
Qian Xie
Electric Power Research Institute of State Grid Sichuan Electric Power Company
Chengdu, China
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Xie, Qian
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Hua Zhang
Hua Zhang
Electric Power Research Institute of State Grid Sichuan Electric Power Company
Chengdu, China
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Zhang, Hua
,
Hua Yang
Hua Yang
Electric Power Research Institute of State Grid Sichuan Electric Power Company
Chengdu, China
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Yang, Hua
,
Shu Fang
Shu Fang
State Grid Sichuan Electric Power Company
Chengdu, China
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Fang, Shu
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Wei Wang
Wei Wang
Electric Power Research Institute of State Grid Shanxi Electric Power Company
Taiyuan, China
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Wang, Wei
,
Shixuan Lv
Shixuan Lv
Electric Power Research Institute of State Grid Shanxi Electric Power Company
Taiyuan, China
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Lv, Shixuan
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Yinzhang Cheng
Yinzhang Cheng
Electric Power Research Institute of State Grid Shanxi Electric Power Company
Taiyuan, China
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Cheng, Yinzhang
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Guanliang Li
Guanliang Li
Electric Power Research Institute of State Grid Shanxi Electric Power Company
Taiyuan, China
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Li, Guanliang
Sep 24, 2025
Applied Mathematics and Nonlinear Sciences
Volume 10 (2025): Issue 1 (January 2025)
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Published Online:
Sep 24, 2025
Received:
Jan 10, 2025
Accepted:
May 05, 2025
DOI:
https://doi.org/10.2478/amns-2025-0995
Keywords
Fuzzy mean clustering
,
Long short-term memory network
,
Transformer
,
Feeder line loss
,
Machine learning
,
Line maintenance
,
Distribution network
© 2025 Songyu Wu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
