中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A clustering model for mining consumption patterns from imprecise electric load time series data

文献类型:期刊论文

作者Li, Qiudan; Liao, Stephen Shaoyi; Li, Dandan; Wang, L; Jiao, L; Shi, G; Li, X; Liu, J
刊名FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS
出版日期2006
卷号4223页码:1217-1220
英文摘要This paper presents a novel clustering model for mining patterns from imprecise electric load time series. The model consists of three components. First, it contains a process that deals with representation and preprocessing of imprecise load time series. Second, it adopts a similarity metric that uses interval semantic separation (Interval SS)-based measurement. Third, it applies the similarity metric together with the k-means clustering method to construct clusters. The model gives a unified way to solve imprecise time series clustering problem and it is applied in a real world application, to find similar consumption patterns in the electricity industry. Experimental results have demonstrated the applicability and correctness of the proposed model.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000241106000152
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9262]  
专题自动化研究所_09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China
2.City Univ Hong Kong, Sch Econ & Management, Dept Informat Syst, Hong Kong, Hong Kong, Peoples R China
3.Chinese Univ Hong Kong, Dept Automat & Comp Aided Engn, Hong Kong, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714
Li, Qiudan,Liao, Stephen Shaoyi,Li, Dandan,et al. A clustering model for mining consumption patterns from imprecise electric load time series data[J]. FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS,2006,4223:1217-1220.
APA Li, Qiudan.,Liao, Stephen Shaoyi.,Li, Dandan.,Wang, L.,Jiao, L.,...&Liu, J.(2006).A clustering model for mining consumption patterns from imprecise electric load time series data.FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS,4223,1217-1220.
MLA Li, Qiudan,et al."A clustering model for mining consumption patterns from imprecise electric load time series data".FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS 4223(2006):1217-1220.

入库方式: OAI收割

来源:自动化研究所

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