关于利用空间相关性预测风速的评述

XUE Yusheng

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关于利用空间相关性预测风速的评述

更新时间：2025-08-13

- 关于利用空间相关性预测风速的评述
- Automation of Electric Power Systems Vol. 41, Issue 10, Pages: 161-169(2017)
- 作者机构：
  
  南瑞集团公司(国网电力科学研究院),江苏省,南京市,211106
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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XUE Yusheng. [J]. Automation of electric power systems, 2017, 41(10): 161-169.
DOI：

XUE Yusheng. [J]. Automation of electric power systems, 2017, 41(10): 161-169. DOI：

摘要

归纳了空间相关性风速预测的现状;引入条件相关性及相应的可信相关度概念

以代替常规的相关性;基于大数据思维

提出将数据驱动与因果驱动相结合的预测框架。从历史数据中挖掘相关性

利用空间相关性增加风速预测的数据源

部分克服历史数据缺失的困难;利用大时滞的空间相关性

有助于预测下游风速的突变。最后

依托该框架展望了空间相关性风速预测的前景。

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. 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.

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