The Transactions of The Korean Institute of Electrical Engineers (전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Customer Classification Method Using Customer Attribute Information to Generate the Virtual Load Profile of non-Automatic Meter Reading Customer

미검침 고객의 가상 부하패턴 생성을 위한 고객 속성 정보를 이용한 고객 분류 기법

  • 김영일 (한국전력공사 전력연구원) ;
  • 고종민 (한국전력공사 전력연구원) ;
  • 송재주 (한국전력공사 전력연구원) ;
  • 최훈 (충남대학교 컴퓨터공학과)
  • Received : 2010.07.06
  • Accepted : 2010.09.16
  • Published : 2010.10.01
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Abstract

To analyze the load of distribution line, real LPs (Load Profile) of AMR (Automatic Meter Reading) customers and VLPs (Virtual Load Profile) of non-AMR customers are required. Accuracy of VLP is an important factor to improve the analysis performance. There are 2 kinds of methods to generate the VLP; one is using ALP (Average Load Profile) per each industrial code and PNN (Probability neural networks) algorithm; the other is using LSI (Load Shape Index) and C5.0 algorithm. In this paper, existing researches are studied, and new method is suggested. Each methods are compared the performance with same LP data of real high voltage customers.

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References

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