Carbon pricing prediction based on wavelet transform and K-ELM optimized by bat optimization algorithm in China ETS: the case of Shanghai and Hubei carbon markets

Carbon pricing prediction based on wavelet transform and K-ELM optimized by bat optimization algorithm in China ETS: the case of Shanghai and Hubei carbon markets

Carbon pricing is regarded as a crucial enabler for an accelerated low-carbon energy economy transformation to achieve temperature control targets. This paper studies carbon price forecasting considering historical carbon price series as an influencing factor. A hybrid model of a kernel-based extrem...

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Bibliographic Details
Main Authors: Sun Wei, Zhang Chongchong, Sun Cuiping
Format: Article
Language:English
Published: Taylor & Francis Group 2018-11-01
Series:Carbon Management
Subjects:
wavelet transform
bat algorithm
kernel-based extreme learning machine
carbon price forecasting
Online Access:http://dx.doi.org/10.1080/17583004.2018.1522095

Internet

http://dx.doi.org/10.1080/17583004.2018.1522095

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