An ensemble self-learning framework combined with dynamic model selection and divide-conquer strategies for carbon emissions trading price forecasting-Reference-Cited by-同舟云学术

An ensemble self-learning framework combined with dynamic model selection and divide-conquer strategies for carbon emissions trading price forecasting

Published:2023-08 Issue: Volume:173 Page:113692
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Yang Rui,Liu Hui,Li Yanfei

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference58 articles.

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4. Spatiotemporal evolution of decoupling and driving forces of CO2 emissions on economic growth along the Belt and Road;Hu;J Clean Prod,2020

5. Recognition and analysis of potential risks in China’s carbon emission trading markets;Mao-Zhi;Adv Clim Chang Res,2019

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