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Open Access

Peer-reviewed

Research Article

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Da Lian,

Roles Writing – original draft

Affiliation China Railway Fifth Bureau Group Co., Ltd., Guiyang, China
⨯
Shi Qiang Yang,

Roles Data curation, Formal analysis

Affiliation Geological Brigade of Guizhou Provincial Bureau of Geology and Mineral Resources, Zunyi, China
⨯
Wu Yang ,

Roles Writing – review & editing

* E-mail: yangwu@git.edu.cn

Affiliation Faculty of Resources and Environmental Engineering, Guizhou Institute of Technology, Guiyang, China

https://orcid.org/0000-0001-5634-1013

⨯
Min Zhang,

Roles Conceptualization, Supervision, Validation

Affiliation Faculty of Resources and Environmental Engineering, Guizhou Institute of Technology, Guiyang, China
⨯
Wen Rui Ran

Roles Methodology, Project administration

Affiliation Guizhou Natural Resources Survey and Planning Research Institute, Guiyang, China
⨯

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Da Lian,
Shi Qiang Yang,
Wu Yang,
Min Zhang,
Wen Rui Ran

x

Published: June 25, 2024
https://doi.org/10.1371/journal.pone.0296596

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