{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T12:55:25Z","timestamp":1785329725913,"version":"3.55.0"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1109\/tsg.2020.2982351","type":"journal-article","created":{"date-parts":[[2020,3,20]],"date-time":"2020-03-20T19:55:02Z","timestamp":1584734102000},"page":"4490-4501","source":"Crossref","is-referenced-by-count":95,"title":["Deep Learning-Based Real-Time Building Occupancy Detection Using AMI Data"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2866-0716","authenticated-orcid":false,"given":"Cong","family":"Feng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Mehmani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7478-5670","authenticated-orcid":false,"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.01.043"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2674061.2674064"},{"key":"ref32","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc 13th Int Conf Artif Intell Stat"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref30","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref37","first-page":"60","article-title":"Inferring occupancy from opportunistically available sensor data","author":"yang","year":"2014","journal-title":"Proc IEEE Int Conf Pervasive Comput Commun (PerCom)"},{"key":"ref36","first-page":"14","article-title":"Integrated building control based on occupant behavior pattern detection and local weather forecasting","author":"dong","year":"2011","journal-title":"Proc 12th Int IBPSA Conf Sydney IBPSA Aust"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2528282.2528295"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2807538"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2012.01.039"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2881531"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2016.04.060"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2528282.2528294"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.11.071"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.07.064"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.06.040"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2579265"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2012.02.013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.11.079"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.11.025"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/93"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2778428"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2870041"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2020.106304"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.01.050"},{"key":"ref29","author":"cui","year":"2018","journal-title":"Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2661991"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.10.140"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2017.07.077"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2937338"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2266122"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2494592"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/SAI.2015.7237185"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.07.012"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2684806"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.07.033"},{"key":"ref42","author":"g\u00f6nen","year":"2007","journal-title":"Analyzing Receiver Operating Characteristic Curves with SAS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.08.010"},{"key":"ref41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5121\/ijdkp.2015.5201","article-title":"A review on evaluation metrics for data classification evaluations","volume":"5","author":"hossin","year":"2015","journal-title":"International Journal of Data Mining &amp; Knowledge Management Process"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2013.07.001"},{"key":"ref26","author":"clevert","year":"2015","journal-title":"Fast and accurate deep network learning by exponential linear units (ELUs)"},{"key":"ref43","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2805723"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/9172159\/09043691.pdf?arnumber=9043691","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:15:47Z","timestamp":1651079747000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9043691\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":45,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2020.2982351","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9]]}}}