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Open Access

Peer-reviewed

Research Article

Power load forecasting combining deep learning models and improved CLPO algorithm

Jianguang Song,

Roles Project administration, Resources, Writing – review & editing

Affiliation Electric Power Dispatch Center, State Grid Gansu Electric Power Company, Lanzhou, China
⨯
Xiang Wei,

Roles Methodology, Supervision, Writing – original draft

Affiliation Digital Business Division, State Grid Gansu Electric Power Company, Lanzhou, China
⨯
Zhipeng Li,

Roles Project administration, Supervision, Validation

Affiliation Digital Business Division, State Grid Gansu Electric Power Company, Lanzhou, China
⨯
Xia Zhang,

Roles Data curation, Supervision, Writing – original draft

Affiliation Digital Communication Department, State Grid Wuwei Power Supply Company, Wuwei, China
⨯
Guoheng Zhang,

Roles Investigation, Resources, Writing – review & editing

Affiliation Power Dispatch Center, State Grid Wuwei Power Supply Company, Wuwei, China
⨯
Lu Wang

Roles Formal analysis, Methodology, Writing – original draft

* E-mail: swyrwl@163.com

Affiliation Smart Energy Business Division, Gansu Tongxing Intelligent Technology Development Co., Ltd., Lanzhou, China

https://orcid.org/0009-0000-0807-7086

⨯

Power load forecasting combining deep learning models and improved CLPO algorithm

Jianguang Song,
Xiang Wei,
Zhipeng Li,
Xia Zhang,
Guoheng Zhang,
Lu Wang

x

Published: June 29, 2026
https://doi.org/10.1371/journal.pone.0351428

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