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![]() ![]() ![]() |
刊名 | FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PROCEEDINGS
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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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