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首页> 外文会议>International Conference on Cloud Computing and Security >Unsupervised Energy Disaggregation of Home Appliances
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Unsupervised Energy Disaggregation of Home Appliances

机译：家用电器的无监督能源分解

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Energy management is a growing concern especially with the increasing growth of smart appliances within the home. Energy disaggregation is an ongoing challenge to discover the appliance usage by examining the energy output of a household or building. Unsupervised NILM presents the additional challenge of energy disaggregation without any reliance on training data. A key issue to address in Unsupervised NILM is the discovery of appliances without a priori information. In this paper we present a new approach based on Competitive Agglomeration (CA) which incorporates the good qualities of both hierarchical and partitional clustering. Our proposed energy disaggregation algorithm makes use of CA in order to discover appliances without prior information about the number of appliances. Validation with experimental data from the Reference Energy Disaggregation Dataset (REDD), and comparison with recent state of the art Unsupervised NILM indicates that our proposed algorithm is effective.
机译：能源管理日益受到关注，尤其是随着家庭内部智能电器的增长。通过检查家庭或建筑物的能量输出来发现设备的使用情况，能源分解是一项持续的挑战。无人监督的NILM带来了能量分解的额外挑战，而又不依赖任何训练数据。在无监督NILM中要解决的关键问题是在没有先验信息的情况下发现设备。在本文中，我们提出了一种基于竞争性集聚（CA）的新方法，该方法融合了分层聚类和分区聚类的优良品质。我们提出的能量分解算法利用CA来发现设备，而无需事先获得有关设备数量的信息。使用来自参考能量分解数据集（REDD）的实验数据进行验证，并与最新技术进行比较无监督NILM表明我们提出的算法是有效的。

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