Forecasting carbon price using empirical wavelet transform and gated recurrent unit neural network

Carbon price, to a certain extent, reflects the intensity of a national emission reduction target, whereas carbon price forecasting is the basis for improving crisis management competence and strengthening market enthusiasm. This paper advances a novel hybrid carbon price forecasting methodology con...

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Veröffentlicht in:	Carbon management Jg. 11; H. 1; S. 25 - 37
Hauptverfasser:	Liu, Hui, Shen, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis 02.01.2020 Taylor & Francis Group
Schlagworte:	administrative management algorithms autocorrelation carbon carbon markets Carbon price forecasting disaster recovery empirical wavelet transform fuzzy C-means clustering algorithm gated recurrent unit neural network prediction wavelet
ISSN:	1758-3004, 1758-3012, 1758-3012
Online-Zugang:	Volltext
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