Abnormal power consumption detection method and system
The invention discloses an abnormal power consumption detection method. The method comprises the following steps: A, pre-processing the currently collected data and the history data; B, detecting the pre-processed data by adopting a data mining algorithm so as to recognize the suspected abnormal pow...
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| creator | LIN XIAOXIN CAI XIUWEN CHEN HONGYU LIN TIANJIN WANG MINGCHUN LIN ZHIMING ZENG HUIQIONG HUANG CANFENG HONG ZHIYONG QI LI LIU YI YE JIAZUO SU CHANGQING HU ZHIXUE CAI LINFENG CHEN QUNYING WU LIXIN CHEN ZHISI WU MINGLING LIN QINGYU TAN LONGJIANG |
| description | The invention discloses an abnormal power consumption detection method. The method comprises the following steps: A, pre-processing the currently collected data and the history data; B, detecting the pre-processed data by adopting a data mining algorithm so as to recognize the suspected abnormal power consumption users; C, taking part of the suspected abnormal power consumption users that exceed a preset threshold parameter as abnormal power consumption users to carry out feedback; D, carrying out association analysis on the abnormal power consumption data in the history data by using an association algorithm so as to extract an abnormal power consumption internal association rule, and expressing the analysis result by using a form or a graph; and E, carrying out statistics on the distribution of the abnormal power consumption users in different industries and types and the data of specific abnormal power consumption users for query. According to the abnormal power consumption method, the power consumption da |
| format | Patent |
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The method comprises the following steps: A, pre-processing the currently collected data and the history data; B, detecting the pre-processed data by adopting a data mining algorithm so as to recognize the suspected abnormal power consumption users; C, taking part of the suspected abnormal power consumption users that exceed a preset threshold parameter as abnormal power consumption users to carry out feedback; D, carrying out association analysis on the abnormal power consumption data in the history data by using an association algorithm so as to extract an abnormal power consumption internal association rule, and expressing the analysis result by using a form or a graph; and E, carrying out statistics on the distribution of the abnormal power consumption users in different industries and types and the data of specific abnormal power consumption users for query. 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The method comprises the following steps: A, pre-processing the currently collected data and the history data; B, detecting the pre-processed data by adopting a data mining algorithm so as to recognize the suspected abnormal power consumption users; C, taking part of the suspected abnormal power consumption users that exceed a preset threshold parameter as abnormal power consumption users to carry out feedback; D, carrying out association analysis on the abnormal power consumption data in the history data by using an association algorithm so as to extract an abnormal power consumption internal association rule, and expressing the analysis result by using a form or a graph; and E, carrying out statistics on the distribution of the abnormal power consumption users in different industries and types and the data of specific abnormal power consumption users for query. 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The method comprises the following steps: A, pre-processing the currently collected data and the history data; B, detecting the pre-processed data by adopting a data mining algorithm so as to recognize the suspected abnormal power consumption users; C, taking part of the suspected abnormal power consumption users that exceed a preset threshold parameter as abnormal power consumption users to carry out feedback; D, carrying out association analysis on the abnormal power consumption data in the history data by using an association algorithm so as to extract an abnormal power consumption internal association rule, and expressing the analysis result by using a form or a graph; and E, carrying out statistics on the distribution of the abnormal power consumption users in different industries and types and the data of specific abnormal power consumption users for query. According to the abnormal power consumption method, the power consumption da</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 | Abnormal power consumption detection method and system |
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