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A novel short-term carbon emission prediction model based on secondary decomposition method and long short-term memory network
Grasping the dynamics of carbon emission in time plays a key role in formulating carbon emission reduction policies. In order to provide more accurate carbon emission prediction results for planners, a novel short-term carbon emission prediction model is proposed. In this paper, the secondary decomp...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9046536/ https://www.ncbi.nlm.nih.gov/pubmed/35482236 http://dx.doi.org/10.1007/s11356-022-20393-w |