Research on Energy Carbon Emission Situation Prediction Technology: A Case Study of Fujian Province

Bidan Qiu, Yusong Sun and Yiqiu Zheng ()
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Bidan Qiu: Quanzhou Electric Power Skill Institute
Yusong Sun: State Grid Shanghai Electric Power Company Marketing Service Center
Yiqiu Zheng: State Grid Anxi County Power Supply Company

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 780-796 from Springer

Abstract: Abstract In this paper, Fujian Province was taken as an example to build a general analysis framework for urban carbon emission analysis. Firstly, carbon emission was measured, and then the LMDI method was used to decompose the influencing factors of carbon emission from the aspects of energy structure, industrial structure, social and economic development level, etc. On this basis, the carbon emission trend was analyzed and predicted. A data mining method for carbon emission situation prediction of energy and electric power is proposed.

Keywords: Carbon emission decomposition; Carbon emission projections; LMDI decomposition method; Scenario analysis; Energy and power industry (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-256-9_79

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DOI: 10.2991/978-94-6463-256-9_79

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