Machine learning models for forecasting power electricity consumption using a high dimensional dataset

作者：

Highlights：

• Machine learning techniques to forecast power consumption.

• Use of high-dimensional dataset to forecast economic variables.

• Use of regularized models to improve forecasting power.

• Comparison of machine learning models to benchmark specifications.

• Machine learning methods provide more accurate forecasts.

摘要

•Machine learning techniques to forecast power consumption.•Use of high-dimensional dataset to forecast economic variables.•Use of regularized models to improve forecasting power.•Comparison of machine learning models to benchmark specifications.•Machine learning methods provide more accurate forecasts.

论文关键词：Power electricity consumption,Machine learning,Forecast

论文评审过程：Received 18 September 2020, Revised 5 August 2021, Accepted 12 September 2021, Available online 24 September 2021, Version of Record 29 September 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115917