结构化用电客户互动需求信息的比对库设计

发布时间：2017-12-27 14:40

本文关键词：结构化用电客户互动需求信息的比对库设计　出处：《电力系统及其自动化学报》2016年06期 　论文类型：期刊论文

【摘要】：为提升电力系统服务效率与水平,该文对结构化用电客户互动需求信息提出了新颖的比对方案和比对库设计方案。比对方案以客户互动需求信息的一组统计量作为特征向量,结合特征向量的距离和相关系数构造单一用户之间的差异性指标,对用户集则采用高斯混合模型为统计特征向量集建模,并引用Kullback-Leibler(K-L)散度测量用户集的差异。利用客户互动需求信息、特征统计量以及差异性量化指标设计了一个三级的比对库。文中的比对方案可有效衡量单一用电客户和用电客户集的差异程度,改善比对效率和可靠性,三级比对库可全方位地反映客户互动需求数据的差异,有利于数据的分析和处理。
[Abstract]:In order to improve the efficiency and level of power system service, this paper presents a novel comparison scheme and a comparative library design scheme for structured customer interactive demand information. Alignment scheme with a set of statistics of customer interaction demand information as a feature vector, combined with the index difference between the feature vector distance and correlation coefficient to construct a single user, the user set using the Gauss mixture model for statistical feature vector set, and refer to Kullback-Leibler (K-L) difference divergence to measure user sets. A three level comparison library is designed by using the customer interactive requirement information, the feature statistics and the difference quantization index. Alignment scheme in this paper can effectively measure the degree of difference between the single electricity customers and electricity customers set, improve the matching efficiency and reliability, the three level can be fully reflect the differences on customer interaction demand data, is conducive to the analysis and processing of data.
【作者单位】：中国电力科学研究院;天津大学电气与自动化工程学院;
【分类号】：F426.61;TP311.13
【正文快照】： 随着我国经济的持续快速发展,电力需求不断增长,能源瓶颈问题变得越来越突出。为了满足电力的供需平衡和供电的可靠性,电力公司除了增加电力基础设施的投资以外,还必须实时调整营销策略与服务方案,鼓励用电客户进行需求侧响应和节能。对用电客户的互动需求信息进行分析与比对,

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