A new secondary decomposition ensemble learning approach for carbon price forecasting

作者：

Highlights：

• A new data preprocessing strategy of secondary decomposition is designed.

• An innovative learning approach is developed for carbon price forecasting.

• The ISCA model is established to optimize the parameters of the BPNN.

• The validity and stability of the proposed approach are remarkable and convincing.

摘要

•A new data preprocessing strategy of secondary decomposition is designed.•An innovative learning approach is developed for carbon price forecasting.•The ISCA model is established to optimize the parameters of the BPNN.•The validity and stability of the proposed approach are remarkable and convincing.

论文关键词：Carbon price forecasting,Secondary decomposition ensemble approach,Sample entropy calculation,Improved optimization algorithm

论文评审过程：Received 15 January 2020, Revised 23 August 2020, Accepted 13 December 2020, Available online 26 December 2020, Version of Record 2 January 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.106686