A carbon price hybrid forecasting model based on data multi-scale decomposition and machine learning.

Yang, Ping; Wang, Yelin; Zhao, Shunyu; Chen, Zhi; Li, Youjie

Yang, Ping; Wang, Yelin; Zhao, Shunyu; Chen, Zhi; Li, Youjie.

Affiliation

Yang P; Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan, 650093, People's Republic of China.
Wang Y; Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan, 650093, People's Republic of China.
Zhao S; Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan, 650093, People's Republic of China.
Chen Z; College of Materials and Chemistry, China Jiliang University, Hangzhou, 310018, People's Republic of China.
Li Y; Faculty of Management and Economics, Kunming University of Science and Technology, Kunming, Yunnan, 650093, People's Republic of China. liyoujie@kust.edu.cn.

Environ Sci Pollut Res Int ; 30(2): 3252-3269, 2023 Jan.

Article in En | MEDLINE | ID: mdl-35943654

Subject(s)

Benchmarking; Carbon; Reproducibility of Results; Entropy; Machine Learning; Forecasting

Key words

Carbon price forecasting; Chaos theory; Complete ensemble empirical mode decomposition with adaptive noise; Permutation entropy; Time series analysis

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Carbon / Benchmarking Type of study: Health_economic_evaluation / Prognostic_studies Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2023 Type: Article

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