{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T02:29:05Z","timestamp":1776911345737,"version":"3.51.2"},"reference-count":20,"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-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100010193","name":"Korea Electric Power Corporation","doi-asserted-by":"publisher","award":["R20TA12"],"award-info":[{"award-number":["R20TA12"]}],"id":[{"id":"10.13039\/501100010193","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001321","name":"National Research Foundation","doi-asserted-by":"publisher","award":["NRF-2021R1A2C1095779"],"award-info":[{"award-number":["NRF-2021R1A2C1095779"]}],"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.2022.3194545","type":"journal-article","created":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T19:50:29Z","timestamp":1659988229000},"page":"83195-83203","source":"Crossref","is-referenced-by-count":11,"title":["Missing Data Imputation Algorithm for Transmission Systems Based on Multivariate Imputation With Principal Component Analysis"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6282-9581","authenticated-orcid":false,"given":"Yeon-Sub","family":"Sim","sequence":"first","affiliation":[{"name":"Department of Electric Engineering, Hanbat National University, Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jae-Sang","family":"Hwang","sequence":"additional","affiliation":[{"name":"Korea Electric Power Corporation Research Institute, Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sung-Duk","family":"Mun","sequence":"additional","affiliation":[{"name":"Korea Electric Power Corporation Research Institute, Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tae-Joon","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea Electric Power Corporation Research Institute, Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2819-7506","authenticated-orcid":false,"given":"Seung Jin","family":"Chang","sequence":"additional","affiliation":[{"name":"Department of Electric Engineering, Hanbat National University, Daejeon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MPE.2010.938293"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/en15051616"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3310205"},{"key":"ref4","volume-title":"Data Science Report","year":"2016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MPRV.2007.27"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2912574"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.tree.2008.06.014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1382-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2948456"},{"key":"ref10","first-page":"5689","article-title":"GAIN: Missing data imputation using generative adversarial nets","volume":"80","author":"Yoon","year":"2018","journal-title":"Proc. Mach. Learn. Res."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIIC48513.2020.9065044"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3074564"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3061109"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2022.3167995"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-009-0295-6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICQR2MSE.2011.5976585"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-493-7_68"},{"key":"ref19","article-title":"ActiveClean: Interactive data cleaning while learning convex loss models","author":"Krishnan","year":"2016","journal-title":"arXiv:1601.03797"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7439(96)00007-X"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09851940.pdf?arnumber=9851940","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T04:24:37Z","timestamp":1709353477000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9851940\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3194545","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}