Framework for multivariate carbon price forecasting: A novel hybrid model

The complex characteristics of volatility and non-linearity of carbon price pose a serious challenge to accurately predict carbon price. Therefore, this study proposes a new hybrid model for multivariate carbon price forecasting, including feature selection, deep learning, intelligent optimization a...

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Veröffentlicht in:	Journal of environmental management Jg. 369; S. 122275
Hauptverfasser:	Zhang, Xuankai, Zong, Ying, Du, Pei, Wang, Shubin, Wang, Jianzhou
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.10.2024
Schlagworte:	Algorithms Carbon Carbon price prediction China Commerce Deep learning Forecasting Hybrid forecasting model Intelligent optimization algorithm Models, Theoretical China Deep learning Carbon price prediction Intelligent optimization algorithm Hybrid forecasting model
ISSN:	0301-4797, 1095-8630, 1095-8630
Online-Zugang:	Volltext
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