Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 7
Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2663-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2663-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 7
Model description paper
 | 
11 Apr 2024
Model description paper |  | 11 Apr 2024

Carbon Monitor Power-Simulators (CMP-SIM v1.0) across countries: a data-driven approach to simulate daily power generation

Léna Gurriaran, Yannig Goude, Katsumasa Tanaka, Biqing Zhu, Zhu Deng, Xuanren Song, and Philippe Ciais

Viewed

Total article views: 983 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
716 220 47 983 63 33 40
  • HTML: 716
  • PDF: 220
  • XML: 47
  • Total: 983
  • Supplement: 63
  • BibTeX: 33
  • EndNote: 40
Views and downloads (calculated since 25 Sep 2023)
Cumulative views and downloads (calculated since 25 Sep 2023)

Viewed (geographical distribution)

Total article views: 983 (including HTML, PDF, and XML) Thereof 972 with geography defined and 11 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Jul 2024
Download
Short summary
We developed a data-driven model simulating daily regional power demand based on climate and socioeconomic variables. Our model was applied to eight countries or regions (Australia, Brazil, China, EU, India, Russia, South Africa, US), identifying influential factors and their relationship with power demand. Our findings highlight the significance of economic indicators in addition to temperature, showcasing country-specific variations. This research aids energy planning and emission reduction.
Read more