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Simulation analysis of carbon peak path in China from a multi-scenario perspective: evidence from random forest and back propagation neural network models
China faces tough challenges in the process of low-carbon transformation. To determine whether China can achieve its new 2030 carbon peaking and carbon intensity reduction commitments, accurate prediction of China’s CO(2) emissions is vital. In this paper, the random forest (RF) model was used to sc...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890411/ https://www.ncbi.nlm.nih.gov/pubmed/36723842 http://dx.doi.org/10.1007/s11356-023-25544-1 |