Ensemble methods for wind and solar power forecasting—A state-of-the-art review》.pdf

Renewable and Sustainable Energy Reviews 50 (2015) 82–91 Contents lists available at ScienceDirect Renewable and Sustainable Energy Reviews journal homepage: /locate/rser Ensemble methods for wind and solar power forecasting—A state-of-the-art review Ye Ren a, P.N. Suganthan a,n, N. Srikanth b a School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave., 639798, Singapore b Energy Research Institute @ NTU (ERI@N), #06-04 CleanTech One, 1 CleanTech Loop, 637141, Singapore a r t i c l e i n f o a b s t r a c t Article history: This paper reviews state-of-the-art on wind speed/power forecasting and solar irradiance forecasting with Received 2 May 2014 ensemble methods. The ensemble forecasting methods are grouped into two main categories: competitive Received in revised form ensemble forecasting and cooperative ensemble forecasting. The competitive ensemble forecasting is 30 March 2015 further categorized based on data diversity and parameter diversity. The cooperative ensemble forecasting Accepted 23 April 2015 is divided according to pre-processing and post-processing. Typical articles are discussed according to each Available online 22 May 2015 category and their characteristics are highlighted. We also conduct comparisons based on reported results Keywords: and