{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T04:44:01Z","timestamp":1771044241015,"version":"3.50.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T00:00:00Z","timestamp":1639526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100016153","name":"Office of Electricity","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016153","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006132","name":"Office of Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006132","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12,15]]},"DOI":"10.1109\/bigdata52589.2021.9671786","type":"proceedings-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T20:39:16Z","timestamp":1642106356000},"page":"1558-1565","source":"Crossref","is-referenced-by-count":2,"title":["A Data-Driven Approach to Nation-Scale Building Energy Modeling"],"prefix":"10.1109","author":[{"given":"Andy S.","family":"Berres","sequence":"first","affiliation":[]},{"given":"Brett C.","family":"Bass","sequence":"additional","affiliation":[]},{"given":"Mark B.","family":"Adams","sequence":"additional","affiliation":[]},{"given":"Eric","family":"Garrison","sequence":"additional","affiliation":[]},{"given":"Joshua R.","family":"New","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","year":"2021","journal-title":"Energy"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-014-0010-z"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1211452109"},{"key":"ref32","article-title":"Automatic building energy model creation (AutoBEM) for urban-scale energy modeling and assessment of value propositions for electric utilities","author":"new","year":"2018","journal-title":"Oak Ridge National Lab (ORNL) Oak Ridge TN (United States) Tech Rep"},{"key":"ref31","author":"new","year":"2021","journal-title":"Los Angeles County Archetypes in Weather Research and Forecasting (WRF) Region from ORNL's AutoBEM"},{"key":"ref30","author":"new","year":"2021","journal-title":"Model America - Clark County (Vegas) extract from ORNL's AutoBEM"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.3267"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MSCPES.2013.6623320"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2015.12.001"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/1748-9326\/ab22d2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.12765\/CPoS-2019-14"},{"key":"ref40","year":"2021","journal-title":"OpenStudio"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.07.128"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2006.10.027"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-7788(00)00114-6"},{"key":"ref14","year":"0","journal-title":"Energy Efficiency Trends in Residential and Commercial Buildings"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CLUSTER.2014.6968778"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2012.56"},{"key":"ref17","year":"2021","journal-title":"Global Energy Statistical Yearbook"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.01.034"},{"key":"ref19","first-page":"3","article-title":"Big data, simulations and HPC convergence","author":"fox","year":"2015","journal-title":"Big Data Benchmarking"},{"key":"ref28","year":"2020","journal-title":"Microsoft building footprints"},{"key":"ref4","author":"allen","year":"2020","journal-title":"Impacts of urban morphology on microclimate and building energy use"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1405713112"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/nenergy.2016.103"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1613193114"},{"key":"ref29","author":"new","year":"2021","journal-title":"Model America data and models of every U S building"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10584-011-0299-y"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/en14010132"},{"key":"ref7","first-page":"471","article-title":"Future meteorological year weather data from IPCC scenarios","author":"bass","year":"2020","journal-title":"ASHRAE Topical Conference Proceedings"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10766-017-0498-x"},{"key":"ref9","author":"bing","year":"0","journal-title":"National impact of ANSI\/ASHRAE\/IES standard 90 1-2016"},{"key":"ref1","year":"2018","journal-title":"Energy efficiency indicators Overview"},{"key":"ref20","article-title":"Accuracy of a crude approach to urban multi-scale building energy models compared to 15-min electricity use (at-2019-c002)","author":"garrison","year":"2019","journal-title":"2019 Winter Conference"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2019.106508"},{"key":"ref21","author":"hamilton","year":"2020","journal-title":"Executive summary of the 2020 global status report for buildings and construction"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2008.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICPADS.2010.48"},{"key":"ref23","first-page":"5305e","volume":"31","author":"kurte","year":"2019","journal-title":"Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on titan supercomputer"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2018.00188"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.bdr.2015.01.007"}],"event":{"name":"2021 IEEE International Conference on Big Data (Big Data)","location":"Orlando, FL, USA","start":{"date-parts":[[2021,12,15]]},"end":{"date-parts":[[2021,12,18]]}},"container-title":["2021 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9671263\/9671273\/09671786.pdf?arnumber=9671786","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:55:28Z","timestamp":1652201728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9671786\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,15]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/bigdata52589.2021.9671786","relation":{},"subject":[],"published":{"date-parts":[[2021,12,15]]}}}