A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting

In this study, a novel multiscale nonlinear ensemble leaning paradigm incorporating empirical mode decomposition (EMD) and least square support vector machine (LSSVM) with kernel function prototype is proposed for carbon price forecasting. The EMD algorithm is used to decompose the carbon price into...

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Bibliographic Details

Main Authors:	Bangzhu Zhu, Shunxin Ye, Ping Wang, Kaijian He, Tao Zhang, Yi-Ming Wei
Format:	Default Article
Published:	2018
Subjects:	Mechanical engineering not elsewhere classified Carbon price forecasting Least squares support vector machine Empirical mode decomposition Particle swarm optimization Kernel function prototype
Online Access:	https://hdl.handle.net/2134/37966
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