Ensemble methods for wind and solar power forecasting-A state-of-the-art review

被引:274
|
作者
Ren, Ye [1 ]
Suganthan, P. N. [1 ]
Srikanth, N. [2 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[2] Energy Res Inst NTU ERI N, Singapore 637141, Singapore
来源
关键词
Ensemble method; Wind speed forecasting; Wind power forecasting; Solar irradiance forecasting; EMPIRICAL MODE DECOMPOSITION; NEURAL-NETWORKS; SPEED PREDICTION; GENERATION;
D O I
10.1016/j.rser.2015.04.081
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:82 / 91
页数:10
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