Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

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

Authors
Bidan Qiu1, Yusong Sun2, Yiqiu Zheng3, *
1Quanzhou Electric Power Skill Institute, Quanzhou, China
2State Grid Shanghai Electric Power Company Marketing Service Center, Shanghai, China
3State Grid Anxi County Power Supply Company, Quanzhou, China
*Corresponding author. Email: aimer_wish@163.com
Corresponding Author
Yiqiu Zheng
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_79How to use a DOI?
Keywords
Carbon emission decomposition; Carbon emission projections; LMDI decomposition method; Scenario analysis; Energy and power industry
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_79
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_79How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Bidan Qiu
AU  - Yusong Sun
AU  - Yiqiu Zheng
PY  - 2023
DA  - 2023/10/09
TI  - Research on Energy Carbon Emission Situation Prediction Technology: A Case Study of Fujian Province
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 780
EP  - 796
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_79
DO  - 10.2991/978-94-6463-256-9_79
ID  - Qiu2023
ER  -