A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting-Reference-Cited by-同舟云学术

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A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting

Published:2018-02 Issue: Volume:70 Page:143-157
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Zhu Bangzhu,Ye Shunxin,Wang Ping,He Kaijian,Zhang Tao,Wei Yi-Ming

Funder

National Natural Science Foundation of China

National Philosophy and Social Science Foundation of China

Natural Science Foundation for Distinguished Young Talents of Guangdong

Publisher

Elsevier BV

Subject

General Energy,Economics and Econometrics

Reference34 articles.

1. Combining neural networks and genetic algorithms to predict and reduce diesel engine emission;Alonso;IEEE Trans. Evol. Comput.,2007

2. Using computational intelligence to forecast carbon prices;Atsalakis;Appl. Soft Comput.,2016

3. Generalized autoregressive conditional heteroskedasticity;Bollerslev;J. Econ.,1986

4. Forecasting carbon futures volatility using GARCH models with energy volatilities;Byun;Energy Econ.,2013

5. Nonparametric modeling of carbon prices;Chevallier;Energy Econ.,2011

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