Clustered residential electricity load profiles from Smart Grid Smart City dataset

This dataset contains 30-minute interval electricity load data for 6031 residential customers in NEW South Wales for the calendar year 2013. The original data was collected for the the AusGrid Smart Grid Smart Cities (SGSC) project and made publicly available. (Smart Grid Smart City Customer Trial Data. 2014; http://www.data.gov.au. ) Customers with 90% or more complete data for the year have been further selected to exclude load profiles that have been significantly affected by participation in the demand response activities as part of the SGSC trial. Missing data has been filled. The load profiles have then been clustered within different customer groups and according to dwelling type (house or unit). Details of the data preparation, clustering process and categorization of the clusters according to household characteristics is described in the forthcoming article Roberts, M.B., Haghdadi, N., Bruce, A., and MacGill, I.: ‘Cluster-based characterisation of Australian apartment electricity demand and its implications for low-carbon cities'.

本数据集涵盖2013日历年期间，澳大利亚新南威尔士州（New South Wales）6031名居民用户的30分钟间隔电力负荷数据。原始数据由澳电网智能电网智能城市（AusGrid Smart Grid Smart Cities, SGSC）项目采集并公开发布（《智能电网智能城市用户试验数据》，2014年；http://www.data.gov.au）。本数据集进一步筛选出该年度数据完整率达90%及以上的用户，并剔除了因参与SGSC试验中的需求响应活动而导致负荷曲线受到显著影响的样本。缺失数据已完成填充。随后，研究人员依据住宅类型（独栋住宅或公寓单元）对负荷曲线进行聚类，并划分出不同的用户群组。关于数据预处理、聚类流程以及依据家庭特征对聚类结果进行分类的详细内容，详见待发表论文：Roberts, M.B.、Haghdadi, N.、Bruce, A.与MacGill, I.所作的《基于聚类的澳大利亚公寓电力需求特征分析及其对低碳城市的启示》（Cluster-based characterisation of Australian apartment electricity demand and its implications for low-carbon cities）。