Use of random forest based on the effects of urban governance elements to forecast CO(2) emissions in Chinese cities

Chinese cities contributes a large amount of CO(2) emissions. Reducing CO(2) emissions through urban governance is an important issue. Despite the increasing attention paid on the CO(2) emission prediction, few studies consider the collective and complex influence of governance element system. To pr...

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Detalles Bibliográficos
Autores principales: Zhang, He, Peng, Jingyi, Wang, Rui, Zhang, Mengxiao, Gao, Chang, Yu, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275790/
https://www.ncbi.nlm.nih.gov/pubmed/37332917
http://dx.doi.org/10.1016/j.heliyon.2023.e16693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275790/
https://www.ncbi.nlm.nih.gov/pubmed/37332917
http://dx.doi.org/10.1016/j.heliyon.2023.e16693

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