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Comment on “An examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models”

Crossref DOI link: https://doi.org/10.1007/s11356-025-36087-y

Published Online: 2025-02-13

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

Authors

Triwiyanto, Triwiyanto https://orcid.org/0000-0003-3179-8900
Utomo, Bedjo

Poerwati, Sri
License Information

Text and Data Mining valid from 2025-02-13

Version of Record valid from 2025-02-13
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Article History

Received: 29 January 2025

Accepted: 6 February 2025

First Online: 13 February 2025

Declarations

:

: As this submission is a Letter to the Editor and does not involve humans and animals, no ethical approval was required for this publication.

: Consent for publication was given by all participants.

: The authors declare no competing interests.

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