Research on real-time scheduling optimization technology of power system based on deep learning
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04. Okt. 2024
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Online veröffentlicht: 04. Okt. 2024
Eingereicht: 18. Mai 2024
Akzeptiert: 22. Aug. 2024
DOI: https://doi.org/10.2478/amns-2024-2755
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© 2024 Min Lu et al., published by Sciendo
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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