Intelligent Prediction of Annual CO2 Emissions Under Data Decomposition Mode

CO 2 emissions have contributed to global warming and belong to high-noise, non-stationary and nonlinear systems. An accurate prediction method for annual CO 2 emissions can improve the effectiveness of emission reduction policies. However, the existing prediction methods for small-scaled samples (i...

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Veröffentlicht in:	Computational economics 2024-02, Vol.63 (2), p.711-740
Hauptverfasser:	Wang, Yelin, Yang, Ping, Song, Zan, Chevallier, Julien, Xiao, Qingtai
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Behavioral/Experimental Economics Carbon dioxide Climate change Comparative studies Computer Appl. in Social and Behavioral Sciences Decomposition Economic Theory/Quantitative Economics/Mathematical Methods Economics Economics and Finance Emissions Energy Environmental policy Global warming Greenhouse gases Humanities and Social Sciences Intelligence Literature reviews Math Applications in Computer Science Methods Nonlinear systems Operations Research/Decision Theory Policy making Prediction models Time series Trends
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