Solar radiation forecasting based on convolutional neural network and ensemble learning

作者：

Highlights：

• A combination of VMD and CNNs provide a novel methodology to forecast GHI.

• GHI forecast aid the development of more accurate policies for energy management.

• Methodologies to forecast GHI for short and long-term horizons are becoming crucial.

摘要

•A combination of VMD and CNNs provide a novel methodology to forecast GHI.•GHI forecast aid the development of more accurate policies for energy management.•Methodologies to forecast GHI for short and long-term horizons are becoming crucial.

论文关键词：Solar radiation forecast,Convolutional Neural Networks,Variational Mode Decomposition,Energy forecast,Renewable energy

论文评审过程：Received 10 August 2020, Revised 27 December 2020, Accepted 5 May 2021, Available online 11 May 2021, Version of Record 12 May 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115167