基于皮尔逊相关系数的光伏电站数据修复

Deyang Ji, Feng Jin, Lei Dong*, Shan Zhang, Kunyang Yu

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

39 引用 (Scopus)

摘要

As there is abnormal or missing data in the process of collecting data for photovoltaic power plants, an interpolation method based on Pearson correlation coefficient is proposed. According to the Pearson correlation coefficient, the moments similar to the missing data is found in this method. Then the missing data is calculated based on the data at the similar moments. This method can effectively repair data with a higher accuracy, and make full use of the incomplete data.

投稿的翻译标题Data Repairing of Photovoltaic Power Plant Based on Pearson Correlation Coefficient
源语言繁体中文
页(从-至)1514-1522
页数9
期刊Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
42
4
DOI
出版状态已出版 - 20 2月 2022

关键词

  • Data repairing
  • Missing data
  • Pearson correlation coefficient
  • Photovoltaic power station

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