Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration

Carbon trading is one of the pivotal means of carbon emission reduction. Accurate prediction of carbon prices can stabilize the carbon market, mitigate investment risks, and promote green development. In this study, firstly, the IVMD and ICEEMDAN are used to decompose carbon price quadratically; sec...

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Veröffentlicht in:	Journal of environmental management Jg. 362; S. 121253
Hauptverfasser:	Lan, Yuqiao, Huangfu, Yubin, Huang, Zhehao, Zhang, Changhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.06.2024
Schlagworte:	Carbon carbon markets Carbon price forecasting Commerce entropy environmental management Forecasting hybrids Improved variational mode decomposition Machine learning Models, Theoretical prediction Seagull optimization algorithm Secondary decomposition Carbon price forecasting Improved variational mode decomposition Seagull optimization algorithm Secondary decomposition Machine learning
ISSN:	0301-4797, 1095-8630, 1095-8630
Online-Zugang:	Volltext
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