A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation

作者：

Highlights：

• A structural adaptive discrete grey prediction model is proposed.

• The proposed model can effectively grasp development patterns of time series.

• An algorithm is presented to determine the emerging coefficients adaptively.

• The proposed model strikingly outperforms a range of prevalent benchmarks.

摘要

•A structural adaptive discrete grey prediction model is proposed.•The proposed model can effectively grasp development patterns of time series.•An algorithm is presented to determine the emerging coefficients adaptively.•The proposed model strikingly outperforms a range of prevalent benchmarks.

论文关键词：Structure adaptive discrete grey model,Particle swarm optimization,Renewable energy generation

论文评审过程：Received 23 May 2021, Revised 10 August 2021, Accepted 11 August 2021, Available online 17 August 2021, Version of Record 24 August 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115761