A Study on China coal Price forecasting based on CEEMDAN-GWO-CatBoost hybrid forecasting model under Carbon Neutral Target

A Study on China coal Price forecasting based on CEEMDAN-GWO-CatBoost hybrid forecasting model under Carbon Neutral Target

The emission peak and carbon neutrality targets pose a great challenge to carbon emission reduction in the coal industry, and the coal industry will face an all-around deep adjustment. The forecast of coal price is crucial for reducing carbon emissions in the coal industry in an orderly manner under...

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Bibliographic Details
Main Authors:	Xiang Wang, Yaqi Mao, Yonghui Duan, Yibin Guo
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-09-01
Series:	Frontiers in Environmental Science
Subjects:	carbon neutral energy security coal price forecast machine learning CEEMDAN
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2022.1014021/full

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