The invention provides a
power grid data quality improvement method based on
data correlation. The
power grid data quality improvement method comprises the steps of S1, obtaining a data flow; S2, preprocessing the data; S3, judging whether the data has continuity in time, if yes, skipping to S4, and if not, skipping to S5; S4, judging whether the data has time regularity, if yes, skipping to S6, and if not, skipping to S7; S5, judging whether the
missing data scale of the data exceeds a preset threshold value, if yes, skipping to S8, and if not, skipping to S9; S6, complementing the
missing data by using the previous corresponding data by using the
time correlation; S7, performing interpolation completion on the
missing data by utilizing
peripheral data of the missing data; S8, directly abandoning the group of data; and S9, carrying out zero setting
processing on the missing data. According to the
power grid data quality improvement method based on
data correlation, the quality of dataacquired by the data sensing equipment of the power Internet-of-things terminal layer can be improved, so that the stability and
controllability of data service are ensured.