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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Research on real-time scheduling optimization technology of power system based on deep learning
Min Lu
Min Lu
State Grid Zhejiang Electric Power Co., Ltd
Hangzhou, China
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Lu, Min
,
Yicheng Jiang
Yicheng Jiang
State Grid Zhejiang Electric Power Co., Ltd
Hangzhou, China
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Jiang, Yicheng
,
Jin Wang
Jin Wang
NARI-TECH Nanjing Control Systems Ltd
Nanjing, China
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Wang, Jin
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Jianping Zhu
Jianping Zhu
NARI-TECH Nanjing Control Systems Ltd
Nanjing, China
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Zhu, Jianping
Oct 04, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 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
Keywords
<kwd>Power system scheduling</kwd>
,
<kwd>Perfect scheduling strategy</kwd>
,
<kwd>GRU</kwd>
,
<kwd>Deep learning</kwd>
© 2024 Min Lu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
