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Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments’ carbon reduction policies

Crossref DOI link: https://doi.org/10.1007/s10661-024-12388-6

Published Online: 2024-02-03

Published Print: 2024-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ezenkwu, Chinedu Pascal

Cannon, San

Ibeke, Ebuka
License Information

Text and Data Mining valid from 2024-02-03

Version of Record valid from 2024-02-03
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Article History

Received: 19 April 2023

Accepted: 20 January 2024

First Online: 3 February 2024

Declarations

:

: All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Author” as found in the Instructions for Authors and are aware that with minor exceptions, no changes can be made to authorship once the paper is submitted.

: The authors declare no competing interests.

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