Wind speed forecasting using multi-scale feature adaptive extraction ensemble model with error regression correction

作者：

Highlights：

• Extract and utilize the hidden predictive information of high-resolution data.

• Obtain the best match between feature extraction and feature mapping by optimization.

• Ensemble multi-scale feature adaptive extraction models by MOCSMFHO algorithm.

• Reduce prediction residual by a multi-objective error regression correction method.

摘要

•Extract and utilize the hidden predictive information of high-resolution data.•Obtain the best match between feature extraction and feature mapping by optimization.•Ensemble multi-scale feature adaptive extraction models by MOCSMFHO algorithm.•Reduce prediction residual by a multi-objective error regression correction method.

论文关键词：Wind speed forecasting,Multi-scale feature adaptive extraction,Ensemble model,Error correction

论文评审过程：Received 13 July 2021, Revised 18 December 2021, Accepted 25 April 2022, Available online 28 April 2022, Version of Record 12 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117358