Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression

Conventional methods are less robust in terms of accurately forecasting non-stationary and nonlineary carbon prices. In this study, we propose an empirical mode decomposition-based evolutionary least squares support vector regression multiscale ensemble forecasting model for carbon price forecasting...

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Bibliographic Details

Main Authors:	Bangzhu Zhu, Dong Han, Ping Wang, Zhanchi Wu, Tao Zhang, Yi-Ming Wei
Format:	Default Article
Published:	2017
Subjects:	Other economics not elsewhere classified Carbon price forecasting Empirical mode decomposition Least squares support vector regression Particle swarm optimization
Online Access:	https://hdl.handle.net/2134/37970
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