2024
DOI: 10.1002/ese3.1655
|View full text |Cite
|
Sign up to set email alerts
|

Forecasting carbon price using signal processing technology and extreme gradient boosting optimized by the whale optimization algorithm

Yonghui Duan,
Jingyi Zhang,
Xiang Wang
et al.

Abstract: Predicting carbon prices is crucial for the growth of China's carbon trading industry. This paper proposes a residual correction model that considers multiple influencing factors. First, the best historical data and main external factors input by the model are determined by using the partial autocorrelation function and Spearman correlation analysis, and the carbon price forecasting index system is constructed. Second, the whale optimization algorithm (WOA) is utilized to determine the optimal parameters of th… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 55 publications
0
0
0
Order By: Relevance