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

doi:10.13334/j.0258-8013.pcsee.211172

基于皮尔逊相关系数的光伏电站数据修复

Translated title of the contribution: Data Repairing of Photovoltaic Power Plant Based on Pearson Correlation Coefficient

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

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

Abstract

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.

Translated title of the contribution	Data Repairing of Photovoltaic Power Plant Based on Pearson Correlation Coefficient
Original language	Chinese (Traditional)
Pages (from-to)	1514-1522
Number of pages	9
Journal	Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
Volume	42
Issue number	4
DOIs	https://doi.org/10.13334/j.0258-8013.pcsee.211172
Publication status	Published - 20 Feb 2022

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10.13334/j.0258-8013.pcsee.211172

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abstract = "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.",

keywords = "Data repairing, Missing data, Pearson correlation coefficient, Photovoltaic power station",

author = "Deyang Ji and Feng Jin and Lei Dong and Shan Zhang and Kunyang Yu",

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AU - Ji, Deyang

AU - Jin, Feng

AU - Dong, Lei

AU - Zhang, Shan

AU - Yu, Kunyang

PY - 2022/2/20

Y1 - 2022/2/20

N2 - 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.

AB - 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.

KW - Data repairing

KW - Missing data

KW - Pearson correlation coefficient

KW - Photovoltaic power station

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DO - 10.13334/j.0258-8013.pcsee.211172

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JF - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

IS - 4

ER -

基于皮尔逊相关系数的光伏电站数据修复

Abstract

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