REFIT: Electrical Load Measurements

The REFIT Electrical Load Measurements dataset includes raw electrical consumption data in Watts for 20 households at aggregate and appliance level, timestamped and sampled at 8 second intervals. This dataset is intended to be used for research into energy conservation and advanced energy services, ranging from non-intrusive appliance load monitoring, demand response measures, tailored energy and retrofit advice, appliance usage analysis, consumption and time-use statistics and smart home/building automation. Please refer to the linked paper below for more details. When using this dataset please cite the following paper in Scientific Data, http://dx.doi.org/10.1038/sdata.2016.122 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/K002368/1/1). 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. A cleaned data version of this dataset (deposited 16/06/2016) is also available from the Data Sets link below.

REFIT电气负载测量数据集（REFIT Electrical Load Measurements dataset）包含20个家庭的原始用电数据（单位为瓦特），涵盖总用电数据与单电器分项用电数据，所有数据均带有时间戳，采样间隔为8秒。本数据集旨在服务于节能与先进能源服务相关研究，研究范畴涵盖非侵入式电器负载监测（non-intrusive appliance load monitoring）、需求响应策略、定制化能源改造建议、电器使用行为分析、用电与时间使用统计，以及智能家居/建筑自动化等方向。如需了解更多细节，请参阅下文关联的论文。使用本数据集时，请引用发表于"Scientific Data"的以下论文：http://dx.doi.org/10.1038/sdata.2016.122。本研究作为REFIT项目的一部分开展，该项目全称为“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），资助编号为EP/K002368/1/1。REFIT项目由拉夫堡大学、斯特拉斯克莱德大学与东英吉利大学三所高校，以及十家行业合作方组成联盟，由工程与物理科学研究委员会（EPSRC）在“通过数字创新变革建筑能源需求”（Transforming Energy Demand in Buildings through Digital Innovation，简称BuildTEDDI）资助计划下提供经费支持。本数据集的清理版本（上传日期为2016年6月16日）也可通过下文的数据集链接获取。