Spatiotemporal pattern evolution and quantitative prediction of electrical carbon emissions from a demand-side perspective in urban areas

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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Bibliographic Details
Main Authors: Ying Tian, Hui Cao, Dapeng Yan, Jinmei Chen, Yayan Hua
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Spatiotemporal pattern evolution
Electrical carbon emissions
Demand-side perspective
Data-driven
Carbon prediction
Distributed network
Online Access:https://doi.org/10.1038/s41598-025-10509-w
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https://doi.org/10.1038/s41598-025-10509-w

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