Abstract
Based on the general background of the transformation from energy consumption dual control to carbon dual control, this paper takes S City, a southern coastal city, as an example, analyzes its energy consumption, economic development and energy transformation route, and sets up two different development scenarios for energy consumption in S City during 2022–2030 by combining the current policy guidance. The elastic coefficient method combined with multiple linear regression is used to predict the future energy consumption and its change trend. The forecast results show that the current energy transformation development route is relatively in line with the requirements of low-carbon development.
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Acknowledgements
Fund project: State Grid Zhejiang Electric Power Co., Ltd. provincial industrial unit science and technology project “Research on key technologies of renewable energy and electrification development path deduction taking into account carbon trading and carbon emissions under the dual carbon background” (project No.: 2022-KJLH-SJ-018).
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Chen, D., Li, C., Zhong, W., Liu, W., Yan, Y. (2023). Energy Consumption Trend Analysis Based on Energy Elastic Consumption Coefficient Method Under the Background of Carbon Dual Control. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 1. BDCPS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 167. Springer, Singapore. https://doi.org/10.1007/978-981-99-0880-6_83
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DOI: https://doi.org/10.1007/978-981-99-0880-6_83
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