A novel decomposition-ensemble forecasting system for dynamic dispatching of smart grid with sub-model selection and intelligent optimization

作者：

Highlights：

• A novel hybrid ensemble forecasting frame is proposed based on many predictors.

• Sub-model selection scheme is employed to select optimal predictors for sub-series.

• Multi-objective optimization algorithm is used to get integrated forecast results.

• Interval forecasting is conducted to further capture the uncertainty.

摘要

•A novel hybrid ensemble forecasting frame is proposed based on many predictors.•Sub-model selection scheme is employed to select optimal predictors for sub-series.•Multi-objective optimization algorithm is used to get integrated forecast results.•Interval forecasting is conducted to further capture the uncertainty.

论文关键词：Short-term load forecasting,Sub-model selection,Hybrid ensemble forecasting,Data preprocessing,Multi-objective optimization algorithm

论文评审过程：Received 6 November 2020, Revised 21 November 2021, Accepted 7 April 2022, Available online 21 April 2022, Version of Record 25 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117201