{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T12:08:54Z","timestamp":1768910934550,"version":"3.49.0"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Deanship of Scientific Research, Vice Presidency for Graduate Studies and Scientific Research, King Faisal University, Saudi Arabia","award":["KFU251379"],"award-info":[{"award-number":["KFU251379"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3651906","type":"journal-article","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:02:28Z","timestamp":1768255348000},"page":"7185-7203","source":"Crossref","is-referenced-by-count":0,"title":["Power Transformer Health Index and Life Span Prediction Using Supervised Machine Learning: A Hybrid Autoencoder Enhanced Gradient Boosting Approach"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7392-2012","authenticated-orcid":false,"given":"Syeda Tahreem","family":"Zahra","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, HITEC University, Taxila, Pakistan"}]},{"given":"Syed Kashif","family":"Imdad","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, HITEC University, Taxila, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8905-7294","authenticated-orcid":false,"given":"Saad","family":"Arif","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1167-349X","authenticated-orcid":false,"given":"Muhammad Farrukh","family":"Qureshi","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Namal University, Mianwali, Pakistan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0062-5978","authenticated-orcid":false,"given":"Hussain","family":"Altammar","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2253-6004","authenticated-orcid":false,"given":"Ayaz","family":"Ahmad","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, College of Engineering, King Faisal University, Al-Ahsa, Saudi Arabia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MEI.2008.4581371"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/57.44605"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109474"},{"issue":"3","key":"ref4","first-page":"224","article-title":"A new model for predicting the remaining lifetime of transformer based on data obtained using machine learning","volume":"12","author":"Alabdullh","year":"2024","journal-title":"J. Oper. Autom. Power Eng."},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3125379"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICHVEPS47643.2019.9011040"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICAC347590.2019.9036845"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICIC53490.2021.9693013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TDEI.2013.6518966"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICPEA56918.2023.10093216"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-03033-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3439248"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-83220-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12112405"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TDEI.2020.008984"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2017.2762920"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00202-024-02459-9"},{"issue":"1","key":"ref18","first-page":"17","article-title":"State of health prediction of lithium-ion batteries based on tcn-transformer","volume":"21","author":"Li","year":"2025","journal-title":"Int. J. Innov. Comput., Inf. Control"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3027830"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICDSIS65355.2025.11071052"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3258544"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/jpm11100978"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3450110"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2020.104684"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3124845"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/app13137539"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121618"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-024-09842-5"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11339507.pdf?arnumber=11339507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T20:55:44Z","timestamp":1768856144000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11339507\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3651906","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}