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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Vydané v:	Journal of environmental management Ročník 362; s. 121253
Hlavní autori:	Lan, Yuqiao, Huangfu, Yubin, Huang, Zhehao, Zhang, Changhong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Elsevier Ltd 01.06.2024
Predmet:	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
On-line prístup:	Získať plný text
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