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A fast short circuit capacity calculation model based on regression neural network in complex grid environment

Siyang He

Siyang He

Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
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He, Siyang
, 
Shiqin Zhao

Shiqin Zhao

Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
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Zhao, Shiqin
, 
Shuai Wang

Shuai Wang

Tongren Power Supply Bureau, Guizhou Power Grid Co., Ltd.Tongren, China
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Wang, Shuai
, 
Juncheng Huang

Juncheng Huang

Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
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Huang, Juncheng
, 
Changzi Zhang

Changzi Zhang

Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
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Zhang, Changzi
 and 
Huaiyuan Wang

Huaiyuan Wang

Duyun Guiding Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
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Wang, Huaiyuan
  
Nov 18, 2024
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Published Online: Nov 18, 2024
Received: Jun 23, 2024
Accepted: Oct 08, 2024
DOI: https://doi.org/10.2478/amns-2024-3325
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© 2024 Siyang He et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
He, Siyang
Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
Zhao, Shiqin
Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
Wang, Shuai
Tongren Power Supply Bureau, Guizhou Power Grid Co., Ltd.Tongren, China
Huang, Juncheng
Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
Zhang, Changzi
Duyun Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
Wang, Huaiyuan
Duyun Guiding Power Supply Bureau, Guizhou Power Grid Co., Ltd.Duyun, China
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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