电力系统自动化2012，Vol.36Issue(20)：54-58,5.
计及需求响应的多维度用电特征精细挖掘
Fine-mining of Multi-dimension Electrical Characteristics Considering Demand Response
摘要
Abstract
In view of the need of accurately grasping the characteristics of the user's requirement for power consumption in the process of the demand side management(DSM),these characteristics are finely mined with respect to the dimensions of time,genre and response.The power consumption characteristics are finely analyzed from multiple dimensions by combining the advantages of the system clustering and fuzzy clustering,introducing and improving the secondary clustering algorithm,with the corresponding load characteristic vectors extracted for the clustering analysis.The results show that the improved algorithm is simple and effective,and capable of mining more effective information for the demand side as well as selecting potential users appropriate for DSM.It will provide specific information,such as outage capacity,outage time,and assist to estimate risks and benefits for the DSM subject.关键词
需求响应/时间维度/类属维度/响应维度/精细挖掘/多维度聚类Key words
demand response/time dimension/genre dimension/response dimension/fine mining/multi-dimension clustering分类
信息技术与安全科学引用本文复制引用
宗柳,李扬,王蓓蓓..计及需求响应的多维度用电特征精细挖掘[J].电力系统自动化,2012,36(20):54-58,5.基金项目
国家高技术研究发展计划（863计划）资助项目 （）
