Assessment and pathways of the energy production revolution in the Yellow River Basin, China towards carbon peaking: a machine learning approach.

Xu J, Song J, Yan Y, Jia Z, Lu Y, Li M

Open source

DOI
10.1038/s41598-026-53035-z
Published
2026 Aug 7
Container
Scientific reports
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41598-026-53035-z,
  title = {Assessment and pathways of the energy production revolution in the Yellow River Basin, China towards carbon peaking: a machine learning approach.},
  author = {Xu J and Song J and Yan Y and Jia Z and Lu Y and Li M},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-53035-z},
  url = {https://doi.org/10.1038/s41598-026-53035-z}
}

RIS

TY  - JOUR
TI  - Assessment and pathways of the energy production revolution in the Yellow River Basin, China towards carbon peaking: a machine learning approach.
AU  - Xu J
AU  - Song J
AU  - Yan Y
AU  - Jia Z
AU  - Lu Y
AU  - Li M
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-53035-z
UR  - https://doi.org/10.1038/s41598-026-53035-z
ER  - 

APA

J, X., J, S., Y, Y., Z, J., Y, L., & M, L. (2026). Assessment and pathways of the energy production revolution in the Yellow River Basin, China towards carbon peaking: a machine learning approach.. Scientific reports. https://doi.org/10.1038/s41598-026-53035-z

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