基于皮尔逊相关系数的光伏电站数据修复
Data Repairing of Photovoltaic Power Plant Based on Pearson Correlation Coefficient
-
摘要: 针对光伏电站采集数据的过程中存在数据异常或缺失的实际情况,提出了一种基于皮尔逊相关系数的插值方法。该方法根据皮尔逊相关系数找到与缺失数据相似的时刻,再根据相似时刻的数据估计出缺失的数据。这种方法能够有效的对数据进行修复,还原准确度更高,最大化提高残缺数据的使用率。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.