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Research on real-time scheduling optimization technology of power system based on deep learning

Min Lu

Min Lu

State Grid Zhejiang Electric Power Co., LtdHangzhou, China
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Lu, Min
, 
Yicheng Jiang

Yicheng Jiang

State Grid Zhejiang Electric Power Co., LtdHangzhou, China
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Jiang, Yicheng
, 
Jin Wang

Jin Wang

NARI-TECH Nanjing Control Systems LtdNanjing, China
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Wang, Jin
 and 
Jianping Zhu

Jianping Zhu

NARI-TECH Nanjing Control Systems LtdNanjing, China
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Zhu, Jianping
  
Oct 04, 2024
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Published Online: Oct 04, 2024
Received: May 18, 2024
Accepted: Aug 22, 2024
DOI: https://doi.org/10.2478/amns-2024-2755
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© 2024 Min Lu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Lu, Min
State Grid Zhejiang Electric Power Co., LtdHangzhou, China
Jiang, Yicheng
State Grid Zhejiang Electric Power Co., LtdHangzhou, China
Wang, Jin
NARI-TECH Nanjing Control Systems LtdNanjing, China
Zhu, Jianping
NARI-TECH Nanjing Control Systems LtdNanjing, 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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