{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T16:49:47Z","timestamp":1779382187585,"version":"3.53.1"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"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":[],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/vtc2022-spring54318.2022.9860601","type":"proceedings-article","created":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T19:39:23Z","timestamp":1661456363000},"page":"1-5","source":"Crossref","is-referenced-by-count":14,"title":["IoT-based Analysis for Smart Energy Management"],"prefix":"10.1109","author":[{"given":"Guang-Li","family":"Huang","sequence":"first","affiliation":[{"name":"Deakin University,School of Information Technology,Geelong,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adnan","family":"Anwar","sequence":"additional","affiliation":[{"name":"Deakin University,School of Information Technology,Geelong,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seng W.","family":"Loke","sequence":"additional","affiliation":[{"name":"Deakin University,School of Information Technology,Geelong,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arkady","family":"Zaslavsky","sequence":"additional","affiliation":[{"name":"Deakin University,School of Information Technology,Geelong,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinho","family":"Choi","sequence":"additional","affiliation":[{"name":"Deakin University,School of Information Technology,Geelong,Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903574"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821654"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"12011","DOI":"10.1088\/1757-899X\/517\/1\/012011","article-title":"A supervised learning approach to appliance classification based on power consumption traces analysis","volume":"517","author":"cu\u00f1ado","year":"2019","journal-title":"IOP Conference Series: Materials Science and Engineering"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41597-020-0434-6","article-title":"A synthetic energy dataset for non-intrusive load monitoring in households","volume":"7","author":"klemenjak","year":"2020","journal-title":"Scientific Data"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3033562"},{"key":"ref10","first-page":"377","article-title":"Chapter 17 - data analytics for energy disaggregation: Methods and applications","author":"najafi","year":"2018","journal-title":"Big Data Application in Power Systems"},{"key":"ref11","article-title":"A comprehensive review on the nilm algorithms for energy disaggregation","author":"verma","year":"2021"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/S0959-440X(96)80056-X"},{"key":"ref13","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v29i1.9249","article-title":"Energy disaggregation via learning power-lets and sparse coding","author":"elhamifar","year":"2015","journal-title":"Twenty-Ninth AAAI Conference on Artificial Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CIES.2014.7011835"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.segan.2019.100244"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821672"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1049\/joe.2018.8352"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11873"},{"key":"ref19","article-title":"Wavenet: A generative model for raw audio","author":"oord","year":"2016","journal-title":"arXiv preprint arXiv 1609 03286"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2016.7778841"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s121216838"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2015.7","article-title":"The uk-dale dataset, domestic appliance-level electricity demand and whole-house demand from five uk homes","volume":"2","author":"kelly","year":"2015","journal-title":"Scientific Data"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/5.192069"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2985932"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/sdata.2016.122","article-title":"An electrical load measurements dataset of united kingdom households from a two-year longitudinal study","volume":"4","author":"murray","year":"2017","journal-title":"Scientific Data"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2018.12.008"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3208903.3208939"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2689040"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.07.060"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3441300"},{"key":"ref1","first-page":"59","article-title":"Redd: A public data set for energy disaggregation research","volume":"25","author":"kolter","year":"2011","journal-title":"Workshop on Data Mining Applications in Sustainability (SIGKDD)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682543"},{"key":"ref22","first-page":"1","article-title":"Blued: A fully labeled public dataset for event-based non-intrusive load monitoring research","volume":"7","author":"anderson","year":"2012","journal-title":"Proceedings of the 2nd KDD Workshop on Data Mining Applications in Sustainability (SustKDD)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.11.029"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EPEC.2013.6802949"},{"key":"ref23","first-page":"108","article-title":"Smart*: An open data set and tools for enabling research in sustainable homes","volume":"111","author":"barker","year":"2012","journal-title":"SustKDD"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.2991\/ict4s-14.2014.44"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2528282.2528293"}],"event":{"name":"2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring)","location":"Helsinki, Finland","start":{"date-parts":[[2022,6,19]]},"end":{"date-parts":[[2022,6,22]]}},"container-title":["2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9860273\/9860350\/09860601.pdf?arnumber=9860601","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:21:58Z","timestamp":1663618918000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9860601\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/vtc2022-spring54318.2022.9860601","relation":{},"subject":[],"published":{"date-parts":[[2022,6]]}}}