REFIT Smart Home dataset

This dataset is maintained by Steven Firth ([e-mail]), Building Energy Research Group (BERG), School of Civil and Building Engineering, Loughborough University. The REFIT project (www.refitsmarthomes.org) carried out a study from 2013 to 2015 in which 20 UK homes were upgraded to Smart Homes through the installation of devices including Smart Meters, programmable thermostats, programmable radiator valves, motion sensors, door sensors and window sensors.Data was collected using building surveys, sensor placements and household interviews.The REFIT Smart Home dataset is one of the datasets made publically available by the project. This dataset includes: - Building survey data for the 20 homes. - Sensor measurements made before the Smart Home equipment was installed. - Sensor measurements made after the Smart Home equipment was installed. - Climate data recorded at a nearby weather station.---<br> This work has been carried out as part of the REFIT project (‘Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology’, Grant Reference EP/K002457/1). REFIT is a consortium of three universities - Loughborough, Strathclyde and East Anglia - and ten industry stakeholders funded by the Engineering and Physical Sciences Research Council (EPSRC) under the Transforming Energy Demand in Buildings through Digital Innovation (BuildTEDDI) funding programme. For more information see: www.epsrc.ac.uk and www.refitsmarthomes.org---<br>The references below provide links to the REFIT project website, the TEDDINET website, a journal article which uses the dataset, and three additional datasets collected as part of the REFIT project by the University of Strathclyde and the University of East Anglia.本数据集由拉夫堡大学土木与建筑工程学院建筑能源研究小组（Building Energy Research Group, BERG）的Steven Firth（邮箱：[e-mail]）维护。REFIT项目（官网：www.refitsmarthomes.org）于2013年至2015年开展研究，对20户英国住宅进行智能家居（Smart Home）升级，安装了智能电表（Smart Meters）、可编程恒温器（programmable thermostats）、可编程散热器温控阀（programmable radiator valves）、人体运动传感器（motion sensors）、门磁传感器（door sensors）及窗磁传感器（window sensors）等设备。研究通过建筑勘测、传感器布设及住户访谈采集数据。REFIT智能家居数据集是该项目公开发布的数据集之一，本数据集包含： - 20户住宅的建筑勘测数据 - 智能家居设备安装前的传感器监测数据 - 智能家居设备安装后的传感器监测数据 - 邻近气象站记录的气候数据 本研究为REFIT项目（基于智能家居技术的英国家庭个性化改造决策支持工具，Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology，资助编号：EP/K002457/1）的组成部分。REFIT是由拉夫堡大学、斯特拉斯克莱德大学、东英吉利大学三所高校，以及10家行业合作伙伴组成的联盟，由工程与物理科学研究委员会（Engineering and Physical Sciences Research Council, EPSRC）通过“通过数字创新变革建筑能源需求”（Transforming Energy Demand in Buildings through Digital Innovation, BuildTEDDI）资助计划提供资金支持。更多信息可访问：www.epsrc.ac.uk与www.refitsmarthomes.org 以下参考文献提供了REFIT项目官网、TEDDINET官网、使用本数据集的期刊论文，以及斯特拉斯克莱德大学与东英吉利大学作为REFIT项目组成部分采集的另外三套数据集的相关链接。