The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes.
The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes.
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DOI：
10.1038/sdata.2015.7
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发表时间：
2015
期刊：
影响因子：
9.8
通讯作者：
Knottenbelt, William
中科院分区：
文献类型：
--
作者：
Kelly, Jack;Knottenbelt, William
许多国家正在推出智能电表。这些测量一个家庭的总电力需求。然而，对消费者行为的研究表明，当向消费者提供逐项的、逐个电器的消费信息时，他们最有能力提高能源效率。能量分解是一种计算技术，用于从整个房屋的仪表信号中估计每个设备的能耗。为了对分解算法进行研究，研究人员不仅需要描述每个建筑物的总需求的数据，还需要描述单个设备的“基本事实”需求的数据。在这种情况下，我们提出了UK-DALE：来自英国的开放获取数据集，以1/6 kHz的采样率记录整个房屋的家庭用电水平，并以1/6 Hz的采样率记录单个电器的家庭用电水平。这是第一个开放获取的英国数据集在这个时间分辨率。我们记录了五个房子，其中一个记录了655天，这是我们在这个采样率下所知道的任何能源数据集的最长持续时间。我们还描述了我们为收集数据集而构建的低成本，开源，无线系统。
Many countries are rolling out smart electricity meters. These measure a home’s total power demand. However, research into consumer behaviour suggests that consumers are best able to improve their energy efficiency when provided with itemised, appliance-by-appliance consumption information. Energy disaggregation is a computational technique for estimating appliance-by-appliance energy consumption from a whole-house meter signal. To conduct research on disaggregation algorithms, researchers require data describing not just the aggregate demand per building but also the ‘ground truth’ demand of individual appliances. In this context, we present UK-DALE: an open-access dataset from the UK recording Domestic Appliance-Level Electricity at a sample rate of 16 kHz for the whole-house and at 1/6 Hz for individual appliances. This is the first open access UK dataset at this temporal resolution. We recorded from five houses, one of which was recorded for 655 days, the longest duration we are aware of for any energy dataset at this sample rate. We also describe the low-cost, open-source, wireless system we built for collecting our dataset.
影响因子：
3.1
作者：
Fischer, Corinna
通讯作者：
Fischer, Corinna
影响因子：
9
作者：
KEMPTON, W;MONTGOMERY, L
通讯作者：
MONTGOMERY, L
影响因子：
9
作者：
Armel, K. Carrie;Gupta, Abhay;Albert, Adrian
通讯作者：
Albert, Adrian