Poor user identification method based on daily differential electricity consumption
The invention discloses a poor user identification method based on daily differential electricity consumption, and relates to a poor user identification method. At present, a user group type is subjectively defined often directly according to a clustering result, so that a relatively large error exi...
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| creator | XIE YUE WANG ZHIYI PAN YIZHOU LU XUHANG DAI XIANGWEN JIANG SHUO CHEN JIAYI YING ZHANGCHI |
| description | The invention discloses a poor user identification method based on daily differential electricity consumption, and relates to a poor user identification method. At present, a user group type is subjectively defined often directly according to a clustering result, so that a relatively large error exists in user group classification. The method comprises the steps: firstly, carrying out poor user statistics on an investigated user group in a questionnaire mode, then dividing the investigated user group into a training sample group and a test sample group, and meanwhile, carrying out daily electricity consumption difference calculation on users of the training sample group to obtain the daily difference electricity consumption data; and respectively extracting electricity utilization characteristic data of poor users and non-poor users from the daily differential electricity consumption data by utilizing a statistical method. On the basis, the test sample group is verified, and a poor user identification method |
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At present, a user group type is subjectively defined often directly according to a clustering result, so that a relatively large error exists in user group classification. The method comprises the steps: firstly, carrying out poor user statistics on an investigated user group in a questionnaire mode, then dividing the investigated user group into a training sample group and a test sample group, and meanwhile, carrying out daily electricity consumption difference calculation on users of the training sample group to obtain the daily difference electricity consumption data; and respectively extracting electricity utilization characteristic data of poor users and non-poor users from the daily differential electricity consumption data by utilizing a statistical method. 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At present, a user group type is subjectively defined often directly according to a clustering result, so that a relatively large error exists in user group classification. The method comprises the steps: firstly, carrying out poor user statistics on an investigated user group in a questionnaire mode, then dividing the investigated user group into a training sample group and a test sample group, and meanwhile, carrying out daily electricity consumption difference calculation on users of the training sample group to obtain the daily difference electricity consumption data; and respectively extracting electricity utilization characteristic data of poor users and non-poor users from the daily differential electricity consumption data by utilizing a statistical method. 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At present, a user group type is subjectively defined often directly according to a clustering result, so that a relatively large error exists in user group classification. The method comprises the steps: firstly, carrying out poor user statistics on an investigated user group in a questionnaire mode, then dividing the investigated user group into a training sample group and a test sample group, and meanwhile, carrying out daily electricity consumption difference calculation on users of the training sample group to obtain the daily difference electricity consumption data; and respectively extracting electricity utilization characteristic data of poor users and non-poor users from the daily differential electricity consumption data by utilizing a statistical method. On the basis, the test sample group is verified, and a poor user identification method</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 HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Poor user identification method based on daily differential electricity consumption |
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