{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:20:07Z","timestamp":1761294007304,"version":"3.37.3"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"National Key R&D Program of China","award":["2017YFA0700300"],"award-info":[{"award-number":["2017YFA0700300"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61833003","61533005","61873048"],"award-info":[{"award-number":["61833003","61533005","61873048"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002663","name":"Northwestern Polytechnical University","doi-asserted-by":"publisher","award":["DUT18TD07","DUT19JC40"],"award-info":[{"award-number":["DUT18TD07","DUT19JC40"]}],"id":[{"id":"10.13039\/501100002663","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Outstanding Youth Sci-Tech Talent Program of Dalian","award":["2018RJ01"],"award-info":[{"award-number":["2018RJ01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2948367","type":"journal-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T23:27:10Z","timestamp":1571700430000},"page":"152533-152544","source":"Crossref","is-referenced-by-count":9,"title":["Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network"],"prefix":"10.1109","volume":"7","author":[{"given":"Qiang","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linqing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3573-152X","authenticated-orcid":false,"given":"Jun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosenv.2018.05.055"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2018.02.002"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2683482"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2018.04.078"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.05.022"},{"key":"ref37","first-page":"2965","article-title":"Handling missing values in software effort data based on naive Bayes and EM algorithm","volume":"37","author":"zhang","year":"2017","journal-title":"Systems Engineering - Theory &amp; Practice"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2628873"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.08.018"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.08.010"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2015.04.009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2764116"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/10962247.2018.1459956"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2311123"},{"key":"ref16","first-page":"865","article-title":"Traffic flow prediction with big data: A deep learning approach","volume":"16","author":"lv","year":"2015","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2017.49"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2016.0208"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.06.064"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2844102"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2016.2579609"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.08.060"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2018.09.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.2016.11918167"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2018.01.012"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.03.018"},{"key":"ref8","first-page":"248","article-title":"Time series modeling for missing data at random","volume":"44","author":"hu","year":"2014","journal-title":"Math Pract Theory"},{"key":"ref7","first-page":"790","article-title":"Prediction and imputation for missing data at random in time series","volume":"29","author":"li","year":"2012","journal-title":"China Health Stat"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.01.091"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2817879"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2811371"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(2001)014<0853:AOICDE>2.0.CO;2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.02.006"},{"key":"ref21","first-page":"14","article-title":"Analysis of the interpolation method for wind farm&#x2019;s lost wind data","volume":"30","author":"wang","year":"2012","journal-title":"Renew Energ Resour"},{"key":"ref24","first-page":"82","article-title":"Comparison and analysis of interpolation and correction methods of lost wind measurement data under the circumstance of complex mountains terrain","volume":"1","author":"zhang","year":"2015","journal-title":"Wind Energy"},{"key":"ref23","first-page":"35","article-title":"Interpolation and correction of anemometric data on wind power plant","volume":"6","author":"xie","year":"2010","journal-title":"Journal of Energy Engineering"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2016.05.031"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.07.020"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08877736.pdf?arnumber=8877736","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,10]],"date-time":"2021-08-10T19:39:43Z","timestamp":1628624383000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8877736\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2948367","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}