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Open Access

Peer-reviewed

Research Article

An optimization method for flexible interconnection planning based on improved CNN-LSTM prediction and tunable relative entropy-driven chaotic evolution

Xiaoyan Zhao,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Writing – original draft

Affiliation Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China
⨯
Xubin Xing,

Roles Data curation, Formal analysis, Methodology, Project administration

Affiliation Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China
⨯
Xiaoyan Guo,

Roles Investigation, Project administration, Resources, Software, Supervision

Affiliation Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China
⨯
Jian Chao,

Roles Formal analysis, Investigation, Software, Supervision

Affiliation Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China
⨯
Dapeng Hu,

Roles Investigation, Methodology, Supervision, Visualization

Affiliation Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China
⨯
Xiangtao Zhuan

Roles Conceptualization, Formal analysis, Supervision, Validation, Visualization, Writing – review & editing

* E-mail: xtzhuan@whu.edu.cn

Affiliation School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, China

https://orcid.org/0009-0009-7805-3819

⨯

An optimization method for flexible interconnection planning based on improved CNN-LSTM prediction and tunable relative entropy-driven chaotic evolution

Xiaoyan Zhao,
Xubin Xing,
Xiaoyan Guo,
Jian Chao,
Dapeng Hu,
Xiangtao Zhuan

x

Published: June 12, 2026
https://doi.org/10.1371/journal.pone.0351324

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