The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes.
The IDEAL household energy dataset, electricity, gas, contextual sensor data and survey data for 255 UK homes.
复制标题
DOI：
10.1038/s41597-021-00921-y
复制
发表时间：
2021-05-28
期刊：
影响因子：
9.8
通讯作者：
Zhong M
中科院分区：
文献类型：
--
作者：
Pullinger M;Kilgour J;Goddard N;Berliner N;Webb L;Dzikovska M;Lovell H;Mann J;Sutton C;Webb J;Zhong M
本文描述的IDEAL家庭能源数据集包括截至2018年6月的23个月期间来自255个英国家庭的电力，天然气和上下文数据，平均参与时间为286天。传感器收集了每个房间的1秒电力数据，脉冲级气体数据，12秒温度，湿度和光线数据，以及来自集中供暖和热水锅炉管道的12秒温度数据。39户家庭还包括对选定电器的插头级监测、对主电源和关键子电路的实际功率测量，以及对包括散热器和水龙头在内的燃气和供热设备进行更详细的温度监测。调查数据包括居住者的人口统计数据，价值观，态度和自我报告的能源意识，家庭收入，能源关税，建筑，房间和电器的特点。关联的二级数据包括天气和城市化水平。数据以逗号分隔的格式提供，并带有定制的API以方便使用，并且已经过清理和记录。这些数据有着广泛的应用，包括调查能源需求模式和驱动因素，建模建筑性能，以及进行非侵入式负载监控研究。描述报告数据的机器可访问元数据文件：10.6084/m9.figshare.14096993
The IDEAL household energy dataset described here comprises electricity, gas and contextual data from 255 UK homes over a 23-month period ending in June 2018, with a mean participation duration of 286 days. Sensors gathered 1-second electricity data, pulse-level gas data, 12-second temperature, humidity and light data for each room, and 12-second temperature data from boiler pipes for central heating and hot water. 39 homes also included plug-level monitoring of selected electrical appliances, real-power measurement of mains electricity and key sub-circuits, and more detailed temperature monitoring of gas- and heat-using equipment, including radiators and taps. Survey data included occupant demographics, values, attitudes and self-reported energy awareness, household income, energy tariffs, and building, room and appliance characteristics. Linked secondary data comprises weather and level of urbanisation. The data is provided in comma-separated format with a custom-built API to facilitate usage, and has been cleaned and documented. The data has a wide range of applications, including investigating energy demand patterns and drivers, modelling building performance, and undertaking Non-Intrusive Load Monitoring research. Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.14096993
登录
查看更多内容
影响因子：
9.8
作者：
Murray D;Stankovic L;Stankovic V
通讯作者：
Stankovic V
影响因子：
7
作者：
Axsen, Jonn;TyreeHageman, Jennifer;Lentz, Andy
通讯作者：
Lentz, Andy
影响因子：
5.9
作者：
Ferrer-i-Carbonell, A;Van den Bergh, JCJM
通讯作者：
Van den Bergh, JCJM
影响因子：
9.9
作者：
Schulenberg, Stefan E.;Melton, Amanda M. A.
通讯作者：
Melton, Amanda M. A.
影响因子：
9.8
作者：
Kelly, Jack;Knottenbelt, William
通讯作者：
Knottenbelt, William