电力系统自动化2017，Vol.41Issue(10)：161-169,9.DOI:10.7500/AEPS20170109002
关于利用空间相关性预测风速的评述
Review on Wind Speed Prediction Based on Spatial Correlation
摘要
Abstract
The state-of-the-art development of spatial correlation based wind speed prediction is reviewed.And the concepts of conditional correlation and its corresponding confidence correlation are introduced to improve traditional spatial correlation.Based on big-data thinking, a framework of integrating data-driven with causality-driven wind speed prediction is proposed.In the framework, correlation is mined from historical data for wind speed prediction.Spatial correlation is employed to import data sources for wind speed prediction to overcome the shortage of historical data in part.Furthermore, spatial correlation with long time lag can be used to predict drastic and sudden change in downstream wind speed.Finally, suggestions for future research under the proposed framework can be made with confidence.关键词
风速预测/空间相关性/动态特征/离线分类建模/在线特征匹配Key words
wind speed prediction/spatial correlation/dynamic features/offline modeling by classification/online feature matching引用本文复制引用
薛禹胜,陈宁,王树民,文福拴,林振智,汪震..关于利用空间相关性预测风速的评述[J].电力系统自动化,2017,41(10):161-169,9.基金项目
国家自然科学基金重点项目(61533010) （61533010）
NSFC-NRCT(中泰)合作研究项目(51561145011) （中泰）
国家电网公司科技项目.This work is supported by the State Key Program of National Natural Science Foundation of China (No.61533010), NSFC-NRCT (Sino Thai) Cooperation Research Project (No.51561145011) and State Grid Corporation of China. （No.61533010）
