Ensemble methods for wind and solar power forecasting—A state-of-the-art review. (October 2015)

• Record Type: Journal Article
• Authors: Ren, Ye; Suganthan, P.N.; Srikanth, N.
• Is Part Of: Renewable & sustainable energy reviews. Volume 50(2015:Oct.)
• Page Start: 82
• Page End: 91
• Publication Date: 2015-10
• Subjects: Ensemble method -- Wind speed forecasting -- Wind power forecasting -- Solar irradiance forecasting; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2015.04.081
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: This paper reviews state-of-the-art on wind speed/power forecasting and solar irradiance forecasting with ensemble methods. The ensemble forecasting methods are grouped into two main categories: competitive ensemble forecasting and cooperative ensemble forecasting. The competitive ensemble forecasting is further categorized based on data diversity and parameter diversity. The cooperative ensemble forecasting is divided according to pre-processing and post-processing. Typical articles are discussed according to each category and their characteristics are highlighted. We also conduct comparisons based on reported results and comparisons based on simulations conducted by us. Suggestions for future research include ensemble of different paradigms and inter-category ensemble methods among others.