Electric power data correction method and device

Electric power data correction method and device

The invention discloses an electric power data correction method and device, and relates to the field of electric power data processing. According to the method, the operation state of the equipment is monitored, so that the obtained initial abnormal power data is based on actual equipment operation...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: SHAO YANNING, YAN YUPING, HU BO, LYU QIYOU, WEI CHAOBING, LIANG ZHIHUA, QIAN ZHENGHAO, MAI JUNJIA, LIN JIAXIN, QIN QIANG, PEI QIUGEN, HU WENJIAN, WU WENYUAN, RUAN WEICONG, CHEN ZEHONG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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
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Beschreibung
Zusammenfassung:The invention discloses an electric power data correction method and device, and relates to the field of electric power data processing. According to the method, the operation state of the equipment is monitored, so that the obtained initial abnormal power data is based on actual equipment operation data, more accurate first abnormal power data are identified from multiple angles through combination of abnormal data characteristics and a time sequence analysis method, and finally, the deviation of the abnormal data is predicted, so that the accuracy of the abnormal power data is improved. On the basis of the deviation information and the trend change information of the abnormal data, accurate correction of the abnormal data is completed. Accurate abnormal data are obtained through combination of abnormal data characteristics and a time sequence analysis method, accurate correction of the abnormal data is realized on the basis of deviation information and trend change information of the abnormal data, correcti