集成学习
集合预报
概率预测
风电预测
计算机科学
风力发电
太阳辐照度
人工智能
机器学习
气象学
功率(物理)
电力系统
工程类
地理
量子力学
电气工程
概率逻辑
物理
作者
Yanjie Ren,Ponnuthurai Nagaratnam Suganthan,N. V. Srikanth
标识
DOI:10.1016/j.rser.2015.04.081
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.
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