Power disaggregation of domestic smart meter readings using dynamic time warping
Power disaggregation of domestic smart meter readings using dynamic time warping
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DOI：
10.1109/isccsp.2014.6877810
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发表时间：
2014-05
期刊：
影响因子：
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通讯作者：
Georgia Elafoudi;L. Stanković;V. Stanković
中科院分区：
文献类型：
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作者：
Georgia Elafoudi;L. Stanković;V. Stanković
非侵入式电器负荷监测（NALM），也称为负荷分解，是一种将单个电器的能源消耗与整体家庭能源消耗隔离开来的方法。传统上，NALM技术是基于在高采样率下测量多个电气参数，这增加了仪表成本、通信和存储开销。在本文中，我们提出了一种基于动态时间扭曲算法的低复杂度解聚方法，该方法仅使用低频捕获的有功功率聚合智能电表数据进行训练和解聚。利用两个月收集的数据，提供了三个家庭的实验结果，显示了使用哪些单独的电器以及何时使用。平均识别准确率为85%。
Non-intrusive appliance load monitoring (NALM), also called load disaggregation, is a method for isolating the energy consumption of individual appliances from an overall household energy consumption. Traditionally, NALM techniques are based on measuring several electrical parameters at high sampling rates, which increases the meter cost and communications and storage overhead. In this paper, we propose a low-complexity disaggregation method based on Dynamic Time Warping algorithm that uses only active power aggregate smart meter data, captured at a low frequency, for training and disaggregation. Experimental results are provided for three households using data collected during two months, showing which individual appliances were used and when. Average recognition accuracy of 85% was obtained.