Power grid data quality improvement method based on data correlation
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...
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| creator | YANG YUTAI LI YUWEN LUAN WEIPING RONG JUNXING YANG RANXIN LU YUAN FAN CHUNLEI LI WEINA LI JING LENG XIAOJIE TAO FANGJIE MU RUI GU JIANWEI WANG WEI ZHANG RUI CAI HAICANG ZHAO HUIQUN YANG WEI XU KANG SUN XIZHOU |
| description | 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 sen |
| format | Patent |
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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. 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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. 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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 sen</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Power grid data quality improvement method based on data correlation |
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