{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T21:29:12Z","timestamp":1772918952406,"version":"3.50.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001321","name":"South African National Research Foundation","doi-asserted-by":"publisher","award":["129311"],"award-info":[{"award-number":["129311"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001321","name":"South African National Research Foundation","doi-asserted-by":"publisher","award":["132651"],"award-info":[{"award-number":["132651"]}],"id":[{"id":"10.13039\/501100001321","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3166146","type":"journal-article","created":{"date-parts":[[2022,4,11]],"date-time":"2022-04-11T20:38:51Z","timestamp":1649709531000},"page":"39638-39655","source":"Crossref","is-referenced-by-count":136,"title":["Electricity Theft Detection in Smart Grids Based on Deep Neural Network"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4172-0429","authenticated-orcid":false,"given":"Leloko J.","family":"Lepolesa","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, Johannesburg, South Africa"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3914-4530","authenticated-orcid":false,"given":"Shamin","family":"Achari","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, Johannesburg, South Africa"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7873-8206","authenticated-orcid":false,"given":"Ling","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, Johannesburg, South Africa"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Non-Technical Losses: A $96 Billion Global Opportunity for Electrical Utilities","author":"Foster","year":"2021"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.23919\/SAIEE.2019.8864147"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IWCMC48107.2020.9148453"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2785963"},{"key":"ref5","volume-title":"E-Meters Offer Multiple Ways to Combat Electricity Theft and Tampering","author":"Pickering","year":"2021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2011.101911.00087"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2018.8377010"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3178461.3178484"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC47757.2020.9049793"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s40998-020-00322-8"},{"key":"ref11","volume-title":"Global Smart Grid Market Size by Region 2017\u20132023","author":"Jaganmohan","year":"2022"},{"key":"ref12","volume-title":"Electricity Theft Detection","author":"Zheng","year":"2021"},{"issue":"1","key":"ref13","first-page":"59","article-title":"Minimizing household electricity theft in Nigeria using GSM based prepaid meter","volume":"4","author":"Dike","year":"2015","journal-title":"Amer. J. Eng. Res."},{"issue":"1","key":"ref14","first-page":"1","article-title":"Power theft detection & initimate energy meter information through SMS with auto power cut off","volume":"2","author":"Dhokane","year":"2017","journal-title":"Int. J. Current Res. Embedded Syst. VLSI Technol."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.17485\/ijst\/2016\/v9i46\/106909"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPCT.2015.7159401"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ECTICon.2013.6559617"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WTS.2011.5960892"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/HNICEM51456.2020.9400128"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2425222"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2016.10.011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT.2015.7131776"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPES.2017.8387334"},{"key":"ref24","first-page":"135","article-title":"Improving electric fraud detection using class imbalance strategies","volume-title":"Proc. ICPRAM","author":"Di Martino"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/en12173310"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3100980"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3056566"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4842-2845-6"},{"key":"ref29","article-title":"Examining the use of neural networks for feature extraction: A comparative analysis using deep learning, support vector machines, and K-nearest neighbor classifiers","volume-title":"arXiv:1805.02294","author":"Notley","year":"2018"},{"key":"ref30","article-title":"Artificial neural networks-based machine learning for wireless networks: A tutorial","volume-title":"arXiv:1710.02913","author":"Chen","year":"2017"},{"key":"ref31","volume-title":"Speech and Language Processing: An Introduction to Speech Recognition, Computational Linguistics and Natural Language Processing","author":"Jurafsky","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1017\/atsip.2013.9"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref34","volume-title":"Training an Artificial Neural Network With MATLAB\u2014Machine Learning for Engineers","year":"2021"},{"key":"ref35","volume-title":"Introduction to Neural Networks With Java","author":"Heaton","year":"2008"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-94463-0"},{"key":"ref37","article-title":"Gradient descent based optimization algorithms for deep learning models training","volume-title":"arXiv:1903.03614","author":"Zhang","year":"2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2018.8407425"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.33564\/ijeast.2020.v04i12.054"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1237\/2\/022030"},{"key":"ref41","volume-title":"Statistics for Machine Learning","author":"Dangeti","year":"2017"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/wics.101"},{"key":"ref43","first-page":"907","article-title":"Singular value decomposition (SVD) and generalized singular value decomposition","volume-title":"Encyclopedia of Measurement and Statistics","author":"Abdi","year":"2007"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09151-7"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CSB.2003.1227396"},{"key":"ref46","volume-title":"Splines and Pchips","author":"Moler","year":"2023"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1201\/9781315181080"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2316504"},{"key":"ref49","volume-title":"Normalization","year":"2021"},{"key":"ref50","volume-title":"Fundamentals of Communication Systems","author":"Fitz","year":"2007"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3389\/fchem.2019.00929"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.06.032"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"ref54","volume-title":"Classification: Accuracy","year":"2021"},{"key":"ref55","volume-title":"Classification Accuracy is Not Enough: More Performance Measures You Can Use","author":"Brownlee","year":"2021"},{"key":"ref56","volume-title":"AUC-ROC Curve in Machine Learning Clearly Explained","author":"Bhandari","year":"2021"},{"issue":"1","key":"ref57","first-page":"26","article-title":"Hyperparameter optimization for machine learning models based on Bayesian optimization","volume":"17","author":"Jia","year":"2019","journal-title":"J. Electron. Sci. Technol."},{"key":"ref58","article-title":"Adam: A method for stochastic optimization","volume-title":"arXiv:1412.6980","author":"Kingma","year":"2017"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/2836236"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09754513.pdf?arnumber=9754513","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:25:06Z","timestamp":1705688706000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9754513\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3166146","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}