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Emerging Subspace Discovery from Daily Load Consumption Data

전력 소비 데이터로부터의 출현 부분패턴 추출

  • Park, Hyun Woo (DB/Bioinformatics Lab., Chungbuk National University) ;
  • Piao, Minghao (DB/Bioinformatics Lab., Chungbuk National University) ;
  • Ryu, Keun Ho (DB/Bioinformatics Lab., Chungbuk National University)
  • 박현우 (데이터베이스/바이오인포메틱스 연구실, 충북대학교) ;
  • 박명호 (데이터베이스/바이오인포메틱스 연구실, 충북대학교) ;
  • 류근호 (데이터베이스/바이오인포메틱스 연구실, 충북대학교)
  • Published : 2013.05.10

Abstract

Customers of different electricity consumer types have different daily load shapes in the manner of different characteristics. Therefore, maximally capture load shape variability are desirable in load flow analysis. And most of time, such load shape variability can be found in the particular subspace of load diagrams. Therefore, in this paper, we are using subspace projection method to capture the emerging subspaces of load diagrams which maximize the difference between particular load shapes in different group of customers. As the result, subspace projection method can be used in load profiling and the performance is good as traditional approaches.

Keywords