지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2011.5
- 수록면
- 1,102 - 1,109 (8page)
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초록· 키워드
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Interests in green growth for environmental protection are recently increased and encourage research on Smart Grid to use power efficiently. Among interesting issues in this research, the methodology of data mining is an emerging issue which stands for utilizing power usage data collected every 15 minutes from customers for the computation of electricity rates. Load analysis method based on VLP (Virtual Load Profile) is used to create virtual 15 minutes power usage data for non-AMR (Automatic Meter Reading) customers with 15 minutes power usage data from AMR customers. In this paper, TLP (Typical Load Profile) generation method, hierarchical clustering, k-means clustering, fuzzy c-means clustering, and two-stage fuzzy clustering are investigated and their performance are also analyzed.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. TECHNICAL REVIEW
Ⅲ. CLUSTERING METHODS
Ⅳ. EXPERIMENTAL RESULT
Ⅴ. CONCLUSIONS
ACKNOWLEDGMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2013-560-000300216