The identification model of urban long⁃rent low voltage customer
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(Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China)

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This work is supported by National Natural Science Foundation of China(No.61772131)

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    Abstract:

    The difficulty of recovering tariff of the rental housing customer puzzles the electric power company service for a long time. Prepaid model have certain help to solve the problem.Using expert consultation method to form urban longrent low voltage customer analysis indicators. The logistic regression method is used to construct recognition model. Practice shows that the model can accurately locate the rental customers, support prepaid model promotion, auxiliary improve tariff recovery.

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李悦,程雅梦,马玉龙,陈欣.一种城镇长租低压居民客户识别方法[J].电力需求侧管理英文版,2019,21(6):85-87.

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History
  • Received:July 01,2019
  • Revised:August 22,2019
  • Adopted:
  • Online: December 02,2019
  • Published:
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