Time series analysis of carbon dioxide emission: a comparison of statistical, machine learning, and deep learning models.

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Bibliographic Details
Title: Time series analysis of carbon dioxide emission: a comparison of statistical, machine learning, and deep learning models.
Authors: Rijal S; Department of Geosciences, Florida Atlantic University, Boca Raton, FL, 33431, USA. sandip.rijal55@gmail.com., Rimal B; Department of Mathematics, University of Tampa, Tampa, FL, 33606, USA., Rimal R; Department of Mathematical Sciences, Middle Tennessee State University, Murfreesboro, TN, 37132, USA., Banjade SS; Department of Forest Resource and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, 2406, USA., Bhandari HN; Department of Mathematics and Physics, Roger Williams University, Bristol, RI, 02809, USA.
Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2026 Jul 15. Date of Electronic Publication: 2026 Jul 15.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1614-7499
DOI:10.1007/s11356-026-37974-8