A carbon price prediction model based on secondary decomposition algorithm and optimized back propagation neural network

Carbon trading is one of the important mechanisms used to reduce carbon dioxide emissions. The increasing interest in the carbon trading market has heightened the need to decrease the prediction error of the carbon price. In this paper, a new hybrid model for carbon price forecasting is proposed, an...

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Vydané v:	Journal of cleaner production Ročník 243; s. 118671
Hlavní autori:	Sun, Wei, Huang, Chenchen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 10.01.2020
Predmet:	algorithms autocorrelation Back propagation neural network carbon dioxide carbon markets Carbon price prediction China emissions Empirical mode decomposition empirical research Genetic algorithm prediction Secondary decomposition time series analysis China Carbon price prediction Empirical mode decomposition Back propagation neural network Genetic algorithm Secondary decomposition
ISSN:	0959-6526, 1879-1786
On-line prístup:	Získať plný text
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