A deep learning architecture for energy service demand estimation in transport sector for Shared Socioeconomic Pathways

Meeting current global passenger and freight transport energy service demands accounts for 20% of annual anthropogenic CO(2) emissions, and mitigating these emissions remains a considerable challenge for climate policy. Pursuant to this, energy service demands play a critical role in the energy syst...

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Detalles Bibliográficos
Autores principales: Joshi, Siddharth, Ó Gallachóir, Brian, Glynn, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981557/
https://www.ncbi.nlm.nih.gov/pubmed/36864057
http://dx.doi.org/10.1038/s41598-023-30555-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981557/
https://www.ncbi.nlm.nih.gov/pubmed/36864057
http://dx.doi.org/10.1038/s41598-023-30555-6

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