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

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Title: An optimization method for flexible interconnection planning based on improved CNN-LSTM prediction and tunable relative entropy-driven chaotic evolution.
Authors: Zhao X; Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China., Xing X; Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China., Guo X; Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China., Chao J; Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China., Hu D; Zhuhai Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhuhai, Guangdong, China., Zhuan X; School of Electrical Engineering and Automation, Wuhan University, Wuhan, Hubei, China.
Source: PloS one [PLoS One] 2026 Jun 12; Vol. 21 (6), pp. e0351324. Date of Electronic Publication: 2026 Jun 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0351324