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Open Access

Peer-reviewed

Research Article

MDL: Industrial carbon emission prediction method based on meta-learning and diff long short-term memory networks

Feng Li ,

Contributed equally to this work with: Feng Li, Meng Sun

Roles Conceptualization, Software, Writing – original draft

Affiliation Leshan Normal University, Leshan, China
⨯
Meng Sun ,

Contributed equally to this work with: Feng Li, Meng Sun

Roles Conceptualization, Methodology

Affiliation College of Software, Xinjiang University, Urumqi, China
⨯
Qinglong Xian,

Roles Investigation, Supervision, Writing – review & editing

Affiliation Xinjiang Uygur Autonomous Region Measurement and Testing Research Institute, Urumqi, China
⨯
Xuefeng Feng

Roles Funding acquisition, Writing – review & editing

* E-mail: fxfxj@163.com

Affiliation Xinjiang Uygur Autonomous Region Measurement and Testing Research Institute, Urumqi, China

https://orcid.org/0009-0000-1811-6413

⨯

MDL: Industrial carbon emission prediction method based on meta-learning and diff long short-term memory networks

Feng Li,
Meng Sun,
Qinglong Xian,
Xuefeng Feng

x

Published: September 6, 2024
https://doi.org/10.1371/journal.pone.0307915

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Forecasting
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Carbon dioxide
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Short term memory
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Learning
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