Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
A hybrid artificial neural network approach to forecasting CO₂ emissions in the United States under policy uncertainty and energy consumption
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BibTeX
@article{athari2026hybrid,
title = {{A hybrid artificial neural network approach to forecasting CO₂ emissions in the United States under policy uncertainty and energy consumption}},
author = {Seyed Alireza Athari and Serdar Neslihanoglu and Berna Uzun and Adeola Praise Adepoju and Mohamed Djafar Henni},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-77197-y},
url = {https://www.nature.com/articles/s41598-026-77197-y},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - A hybrid artificial neural network approach to forecasting CO₂ emissions in the United States under policy uncertainty and energy consumption
AU - Seyed Alireza Athari
AU - Serdar Neslihanoglu
AU - Berna Uzun
AU - Adeola Praise Adepoju
AU - Mohamed Djafar Henni
PY - 2026
DA - 2026/10/23
JO - Scientific Reports
DO - 10.1038/s41598-026-77197-y
UR - https://www.nature.com/articles/s41598-026-77197-y
SN - 2045-2322
ER -