상세정보
학술지
Cluster Analysis to Preprocess the Building Power Usage Data Without Domain Knowledge
- 발행일
- 202003
- 출처
- Journal of Electrical Engineering & Technology, v.15 no.2, pp.685-692
- ISSN
- 1975-0102
- 출판사
- 대한전기학회 (KIEE)
- 협약과제
- 19PH3700, 태양광 보급확대를 위한 국내 태양광발전시스템 빅데이터 기반의 유지관리비용 저감기술 개발, 이일우
- 초록
- This paper aims to provide the advantage of applying cluster analysis as a data preprocessing algorithm. Daily power usage of the office building during a year is analyzed in this study. Density-based clustering algorithm is applied in this study to find outliers of the data. Calendar day of the data is mapped on the circular time domain to consider the seasonality of power data. Optimal parameters for the data normalization and clustering is found by iterative search procedures. The result of this study found many possible outliers even without considerations for the detailed domain knowledge about the data themselves. Advanced studies such as modeling or statistical analyses can take advantage of outlier-free data from the data preprocessing.
- KSP 제안 키워드
- Cluster analysis(CA), Clustering algorithm, Data Normalization, Data Preprocessing, Density-based clustering, Free Data, Office building, Optimal parameters, Power Usage, Power data, Statistical analyses