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A method for classification of electricity demands using load profile data

机译:一种使用负荷曲线数据对电力需求进行分类的方法

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The multiple participants of the electricity market need new business strategies for providing value added services to customer. Therefore they need the accurate customer information about the electricity demand. Demand characteristic is the most important one for analyzing customer information. In this study, load profile data, which can be collected through the automatic meter reading system, are analyzed for getting demand patterns of customer. The load profile data include electricity demand in 15 minutes interval. An algorithm for clustering similar patterns is developed using the load profile data. As results of classification, representative curves for the same groups are generated. The demand characteristics of the groups are discussed. Also, the compositions of demand contract and industrial classification in each group are presented.
机译:电力市场的多个参与者需要新的业务策略来为客户提供增值服务。因此,他们需要有关电力需求的准确的客户信息。需求特征是分析客户信息最重要的特征。在这项研究中,分析了可以通过自动抄表系统收集的负载曲线数据,以获取客户的需求模式。负载曲线数据包括每隔15分钟的用电需求。使用负载配置文件数据开发了一种用于对相似模式进行聚类的算法。作为分类的结果,生成相同组的代表性曲线。讨论了组的需求特征。此外,还介绍了每组中的需求合同和行业分类的组成。

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