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https://doi.org/https://doi.org/10.1016/j.eneco.2026.109190
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@article{jinghao2026,
title = {{Improvement of carbon price prediction with social factors and mixed-frequency unstructured data}},
author = {Jinghao Kang et al.},
journal = {Energy Economics},
year = {2026},
doi = {https://doi.org/https://doi.org/10.1016/j.eneco.2026.109190},
}TY - JOUR
TI - Improvement of carbon price prediction with social factors and mixed-frequency unstructured data
AU - al., Jinghao Kang et
JO - Energy Economics
PY - 2026
ER -
Jinghao Kang et al. (2026). Improvement of carbon price prediction with social factors and mixed-frequency unstructured data. *Energy Economics*. https://doi.org/https://doi.org/10.1016/j.eneco.2026.109190
Jinghao Kang et al.. "Improvement of carbon price prediction with social factors and mixed-frequency unstructured data." *Energy Economics* (2026). https://doi.org/https://doi.org/10.1016/j.eneco.2026.109190.
Improvement of carbon price prediction with social factors and mixed-frequency unstructured data
Jinghao Kang et al. · Energy Economics · 2026
https://doi.org/https://doi.org/10.1016/j.eneco.2026.109190
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