Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023)

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Research on Methods for Predicting Carbon Peak Scenarios

Authors
Qiushuang Li1, Yan Li1, *, Wanlei Xue1, Xin Zhao1, Zhifan Liu1, Ying Bai1
1Economic and Technology Research Institute, State Grid Shandong Electric Power Company, Jinan, 250021, China
*Corresponding author. Email: liyanw0820@163.com
Corresponding Author
Yan Li
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-246-0_80How to use a DOI?
Keywords
Peak Carbon; Scenario Prediction; Prediction Method; Model Application
Abstract

With the proposal of the “carbon peak” and “carbon neutrality” goals, and the implementation of related policies, an increasing number of scholars have conducted research and predictions on energy transition and carbon emissions reduction pathways. This paper examines the latest research progress in this field. Firstly, it summarizes and analyzes the characteristics of carbon peak prediction. Then, it mainly introduces the principles of macroeconomic models, integrated energy-economic system models, and other prediction models, while summarizing their advantages, disadvantages, and applicability. Finally, suggestions are provided for optimizing future research. This paper aims to provide valuable references and guidance for the academic community and government agencies by reviewing and studying the methods for predicting carbon peak scenarios.

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 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
26 September 2023
ISBN
10.2991/978-94-6463-246-0_80
ISSN
2352-5428
DOI
10.2991/978-94-6463-246-0_80How 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  - Qiushuang Li
AU  - Yan Li
AU  - Wanlei Xue
AU  - Xin Zhao
AU  - Zhifan Liu
AU  - Ying Bai
PY  - 2023
DA  - 2023/09/26
TI  - Research on Methods for Predicting Carbon Peak Scenarios
BT  - Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023)
PB  - Atlantis Press
SP  - 662
EP  - 671
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-246-0_80
DO  - 10.2991/978-94-6463-246-0_80
ID  - Li2023
ER  -