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Analysis of large-scale electricity load profile using clustering method

机译:聚类分析大型电力负荷曲线

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摘要

It is important to understand electricity user's power consumption characteristics for DSM(demand side management) purpose. In this paper, a method combine with hierarchical and fuzzy-c mean was introduced with a case study for more than 300 utilities' load are provided. The results show that our algorithm can classify a large number of samples into finite species, and successfully obtain baseline load profile.
机译:对于DSM(需求侧管理)而言,了解电力用户的功耗特性非常重要。本文介绍了一种结合层次和模糊c均值的方法,并以300多个公用事业负荷为例进行了研究。结果表明,我们的算法可以将大量样本分类为有限种类,并成功获得基线载荷曲线。

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