Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2663-2024
https://doi.org/10.5194/gmd-17-2663-2024
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

Data sets

Google Mobility Reports Google LLC https://www.google.com/covid19/mobility/

Coronavirus pandemic (COVID-19) E. Mathieu et al. https://ourworldindata.org/covid-stringency-index

ERA5-Land hourly data from 1981 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

Carbon Monitor-Power: near-real-time monitoring of global power generation on hourly to daily scales (https://power.carbonmonitor.org) B. Zhu et al. https://doi.org/10.1038/s41597-023-02094-2

Model code and software

Carbon Monitor Power Simulators (v1.0) Léna Gurriaran https://doi.org/10.5281/zenodo.8135971

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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.