{"id":5221,"date":"2015-07-20T10:03:18","date_gmt":"2015-07-20T10:03:18","guid":{"rendered":"http:\/\/blog.soton.ac.uk\/serg\/?p=5221"},"modified":"2016-09-26T11:42:57","modified_gmt":"2016-09-26T11:42:57","slug":"census2022-on-smart-meter-data-for-a-smart-census-published","status":"publish","type":"post","link":"https:\/\/blog.soton.ac.uk\/serg\/census2022-on-smart-meter-data-for-a-smart-census-published\/","title":{"rendered":"#Census2022 paper on smart meter data for a smart census published"},"content":{"rendered":"<p><span class=\"citation\"> <span class=\"creators\"> <span class=\"person_name\">Newing, Andy<\/span>, <span class=\"person_name\">Anderson, Ben<\/span>, <span class=\"person_name\">Bahaj, A.S.<\/span> and <span class=\"person_name\">James, P.A.B.<\/span><\/span> <span class=\"date\"> (2015) <\/span> <span class=\"title\">The role of digital trace data in supporting the collection of population statistics \u2013 the case for smart metered electricity consumption data.<\/span> <span class=\"publication\"><em>Population Space and Place<\/em><\/span>, <span class=\"pagerange\">1-13<\/span>. <span class=\"doi\"> (<a href=\"http:\/\/dx.doi.org\/10.1002\/psp.1972\">doi:10.1002\/psp.1972<\/a>).<\/span> <\/span><\/p>\n<p>Debates over the future of the UK&#8217;s traditional decadal census have led to the exploration of supplementary data sources, which could support the provision of timely and enhanced statistics on population and housing in small areas. This paper reviews the potential value of a number of commercial datasets before focusing on high temporal resolution household electricity load data collected via smart metering. We suggest that such data could provide indicators of household characteristics that could then be aggregated at the census output area level to generate more frequent official small area statistics.<!--more--><\/p>\n<div id=\"attachment_5222\" style=\"width: 310px\" class=\"wp-caption alignright\"><a href=\"http:\/\/blog.soton.ac.uk\/serg\/files\/2015\/08\/Figure3.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-5222\" class=\"size-medium wp-image-5222\" src=\"http:\/\/blog.soton.ac.uk\/serg\/files\/2015\/08\/Figure3-300x145.jpg\" alt=\"Caption\" width=\"300\" height=\"145\" srcset=\"https:\/\/blog.soton.ac.uk\/serg\/files\/2015\/08\/Figure3-300x145.jpg 300w, https:\/\/blog.soton.ac.uk\/serg\/files\/2015\/08\/Figure3-1024x496.jpg 1024w, https:\/\/blog.soton.ac.uk\/serg\/files\/2015\/08\/Figure3.jpg 1120w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><p id=\"caption-attachment-5222\" class=\"wp-caption-text\">Household load profiles by household composition<\/p><\/div>\n<p>These could directly supplement existing census indicators or even enable development of novel small area indicators. The paper explores this potential through preliminary analysis of a \u2018smart meter-like\u2019 dataset, and when set alongside the limited literature to date, the results suggest that aggregated household load profiles may reveal key household and householder characteristics of interest to census users and national statistical organisations. The paper concludes that complete coverage, quasi-real time reporting, and household level detail of electricity consumption data in particular could support the delivery of population statistics and area-based social indicators, and we outline a research programme to address these opportunities.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Newing, Andy, Anderson, Ben, Bahaj, A.S. and James, P.A.B. (2015) The role of digital trace data in supporting the collection of population statistics \u2013 the case for smart metered electricity consumption data. Population Space and Place, 1-13. (doi:10.1002\/psp.1972). Debates over the future of the UK&#8217;s traditional decadal census have led to the exploration of supplementary [&hellip;]<\/p>\n","protected":false},"author":93263,"featured_media":6017,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ngg_post_thumbnail":0,"footnotes":""},"categories":[552643,125902,4217],"tags":[417877,471781,552646,786068],"class_list":["post-5221","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-census-2022","category-energy-behaviour","category-news","tag-417877","tag-census2022","tag-energy-data","tag-official-statistics"],"_links":{"self":[{"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/posts\/5221","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/users\/93263"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/comments?post=5221"}],"version-history":[{"count":2,"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/posts\/5221\/revisions"}],"predecessor-version":[{"id":5228,"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/posts\/5221\/revisions\/5228"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/media\/6017"}],"wp:attachment":[{"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/media?parent=5221"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/categories?post=5221"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.soton.ac.uk\/serg\/wp-json\/wp\/v2\/tags?post=5221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}