Forecasting CO 2 emissions in Iraq using ARIMAX and artificial neural networks: a comparative modeling approach.
- DOI
- 10.1007/s11356-026-37394-8
- Published
- 2026 Jan
- Container
- Environmental science and pollution research international
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11356-026-37394-8,
title = {Forecasting CO 2 emissions in Iraq using ARIMAX and artificial neural networks: a comparative modeling approach.},
author = {Rahim SA and Shaker Ismael Botani D},
year = {2026},
journal = {Environmental science and pollution research international},
doi = {10.1007/s11356-026-37394-8},
url = {https://doi.org/10.1007/s11356-026-37394-8}
}RIS
TY - JOUR TI - Forecasting CO 2 emissions in Iraq using ARIMAX and artificial neural networks: a comparative modeling approach. AU - Rahim SA AU - Shaker Ismael Botani D PY - 2026 JO - Environmental science and pollution research international DO - 10.1007/s11356-026-37394-8 UR - https://doi.org/10.1007/s11356-026-37394-8 ER -
APA
SA, R., & D, S. I. B. (2026). Forecasting CO 2 emissions in Iraq using ARIMAX and artificial neural networks: a comparative modeling approach.. Environmental science and pollution research international. https://doi.org/10.1007/s11356-026-37394-8
Source records
- pubmed · retrieved 2026-09-25T18:47:00.507Z