Encored Technologies, Seoul, Korea.
Department of Transdisciplinary Studies, Seoul National University, Seoul, Korea.
Sci Data. 2019 Oct 8;6(1):193. doi: 10.1038/s41597-019-0212-5.
AMI has been gradually replacing conventional meters because newer models can acquire more informative energy consumption data. The additional information has enabled significant advances in many fields, including energy disaggregation, energy consumption pattern analysis and prediction, demand response, and user segmentation. However, the quality of AMI data varies significantly across publicly available datasets, and low sampling rates and numbers of houses monitored seriously limit practical analyses. To address these challenges, we herein present the ENERTALK dataset, which contains both aggregate and per-appliance measurements sampled at 15 Hz from 22 houses. Among the publicly available datasets with both aggregate and per-appliance measurements, 15 Hz was the highest sampling rate. The number of houses (22) was the second-largest where the largest one had a sampling rate of 1 Hz. The ENERTALK dataset is also the first Korean open dataset on residential electricity consumption.
AMI 逐渐取代传统仪表，因为新型号可以获取更具信息量的能耗数据。这些附加信息使包括能源分解、能耗模式分析和预测、需求响应和用户细分在内的许多领域取得了重大进展。然而，公开可用数据集中的 AMI 数据质量差异很大，低采样率和监测房屋数量严重限制了实际分析。为了解决这些挑战，我们提出了 ENERTALK 数据集，它包含了从 22 所房屋以 15Hz 采集的聚合和每个设备的测量值。在具有聚合和每个设备测量值的公开可用数据集中，15Hz 是最高的采样率。房屋数量（22 所）是第二大的，其中最大的一个的采样率为 1Hz。ENERTALK 数据集也是首个关于住宅用电的韩国开放数据集。
