Multi-Level Stacked Regression for predicting electricity consumption of Hot Rolling Mill

作者：

Highlights：

• A series of pre-processing methods are applied to real data from Hot Rolling Mill.

• A Multi-Level Stacked Regression algorithm is proposed.

• Performance on various training/test splits that contains dataset shifts is verified.

摘要

•A series of pre-processing methods are applied to real data from Hot Rolling Mill.•A Multi-Level Stacked Regression algorithm is proposed.•Performance on various training/test splits that contains dataset shifts is verified.

论文关键词：Stacked Regression,Homogeneous/heterogeneous ensemble,Power peak,Data pre-processing,Steel type,PCA

论文评审过程：Received 20 October 2021, Revised 11 January 2022, Accepted 27 March 2022, Available online 8 April 2022, Version of Record 19 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117040