Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas
Abstract Amid global climate change, analyzing spatiotemporal patterns and predicting urban demand-side electrical carbon emissions is vital for regional low-carbon transitions. This study focuses on a developed coastal region in Guangdong, China. Utilizing high-frequency monitoring data from 3000...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Nature Portfolio
2025-07-01
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| Серія: | Scientific Reports |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1038/s41598-025-10509-w |
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