High-reliability load anomaly identification and repair method based on multi-dimensional data cross validation

• Main Authors: ZHANG LEPING, WANG WU, ZHENG KAIHONG, YANG JUN, ZHAN WEIXU, CAO XU, LI HUI, LI SHENG, YUAN HAO, ZENG LUKUN, ZHANG WEI, ZHANG YUHUI, DAI QING, ZHUANG WENDE, HU RULE
• Format: Patent
• Language: Chinese; English
• Published: 06.06.2023
• 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

The invention relates to the technical field of high-reliability load anomaly identification and repair methods based on multi-dimensional data cross validation, and discloses a high-reliability load anomaly identification and repair method based on multi-dimensional data cross validation. The method comprises the following steps: S1, selecting a target main table and a target auxiliary table related to the target main table according to the annual electricity consumption of residents in a monitoring area, performing data type classification, and generating a multi-dimensional data table taking the electricity consumption of the residents as a fact table, S2, dividing data concentrated in the multi-dimensional data table into K sample sets with the same number, taking one sample set as a verification set, and taking the verification set as a verification table; through the random distribution condition of load values at all moments under different loads, on the basis of the center limit theorem and the quarti