节点文献
电力营销系统异常变户关系识别建模研究
Research on the modeling of customer abnormal variable relationship identification in electric power marketing system
【摘要】 电力营销系统用户变户关系的正确与否直接影响线损和停电通知到户的管理质效。通过对营销业务应用系统变压器与用户电表挂接关系、采集系统采集终端采集点与电能表计量点关联关系的分析,针对业务应用场景特点,建立电力用户异常变户关系识别模型。结果表明此类模型能有效识别用户异常变户关系,为提升线损管理与停电准确通知到户提供技术抓手。
【Abstract】 Whether the customer-to-customer relationship is correct or not in electric power marketing system directly affects the management quality of line loss and power cut notice to the customer. Based on the analysis of the connection relationship between transformer and electric meter in marketing application system, and the connection relationship between collecting terminal point and electric meter measuring point in collecting system, an identification model of abnormal customer relationship is established. The results show that this model can effectively identify the abnormal customer relationship, and provide a technical grasp for improving line loss management and accurate notification of power outage to the customer.
【Key words】 power users; variable household relationship; anomaly identification; modeling research;
- 【文献出处】 中国高新科技 , 编辑部邮箱 ,2023年24期
- 【分类号】F274;F426.61
- 【下载频次】5