NILM Datasets for Research: IAWE, REDD, and UKDALE

This dataset includes the original IAWE, REDD, and UKDALE datasets, as well as the pre-processed tensor data used in the research paper. The files with the .h5 extension are the original datasets, while the .npy files are the tensorized data used in the paper.The IAWE dataset is a high-resolution energy consumption dataset collected from a single household in India, recorded at a 1-second interval. It includes data on various appliances such as air conditioners, refrigerators, and lighting systems, making it particularly useful for studying load patterns in developing countries.The REDD dataset, developed by MIT, is a benchmark dataset in the NILM field. It consists of data from 6 U.S. households, with high-frequency voltage and current waveforms sampled at 15 kHz and low-frequency aggregate power data recorded every second. REDD provides detailed appliance-level energy usage data for devices like refrigerators, microwaves, and washers, making it ideal for energy disaggregation studies.The UKDALE dataset, provided by Imperial College London, covers long-term electricity consumption data from 5 households in the UK, recorded since 2012. It includes aggregate power data at 1-second intervals and appliance-level data at 6-second intervals, with information on approximately 50 appliances. Its long time span and seasonal variations make it particularly suitable for studying long-term household energy behavior.The combination of these datasets allows for diverse, real-world energy analysis, while the tensorized .npy files streamline their use in tensor decomposition and deep learning applications.

本数据集包含原始IAWE、REDD与UKDALE数据集，以及本研究论文所使用的预处理张量数据。其中扩展名为.h5的文件为原始数据集，扩展名为.npy的文件则为论文中采用的张量化数据。
IAWE数据集是一份采集自印度单户家庭的高分辨率能耗数据集，采样间隔为1秒。该数据集涵盖空调、冰箱、照明系统等各类家电的能耗数据，尤其适用于发展中国家的用电负荷模式研究。
REDD数据集由麻省理工学院（MIT）开发，是非侵入式负载监测（Non-Intrusive Load Monitoring，NILM）领域的基准数据集。该数据集包含美国6户家庭的用电数据，其中电压与电流波形以15 kHz的频率进行高频采样，聚合功率数据则以每秒1次的频率进行低频记录。REDD数据集提供了冰箱、微波炉、洗衣机等设备的详细设备级能耗数据，非常适合用于负荷分解相关研究。
UKDALE数据集由伦敦帝国理工学院提供，涵盖英国5户家庭自2012年起的长期用电能耗数据。该数据集包含每秒1次的聚合功率数据，以及间隔6秒的设备级能耗数据，覆盖约50种家电。其较长的时间跨度与季节变化特征，使其特别适用于长期家庭用电行为研究。
上述三类数据集的组合可支持多样化的真实世界能耗分析场景，而张量化的.npy文件则简化了其在张量分解与深度学习应用中的使用流程。