{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T18:15:54Z","timestamp":1773512154776,"version":"3.50.1"},"reference-count":50,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2016YFB0900104"],"award-info":[{"award-number":["2016YFB0900104"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research and Development of Industrial Technology in Jilin Province","award":["2019C058-8"],"award-info":[{"award-number":["2019C058-8"]}]},{"name":"Specialized in Industrial Technology Development of Jilin Province"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2922662","type":"journal-article","created":{"date-parts":[[2019,6,13]],"date-time":"2019-06-13T19:42:13Z","timestamp":1560454933000},"page":"81027-81046","source":"Crossref","is-referenced-by-count":48,"title":["Short-Term Wind Speed Forecast With Low Loss of Information Based on Feature Generation of OSVD"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2546-1375","authenticated-orcid":false,"given":"Nantian","family":"Huang","sequence":"first","affiliation":[]},{"given":"Yinyin","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Guowei","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Heyan","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Changyong","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Li","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jiansen","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Enkai","family":"Xing","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.054"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMR.1070-1072.247"},{"key":"ref33","first-page":"25","article-title":"Fault diagnosis of rolling bearing based on PPCA and 1.5-dimensional energy spectrum","volume":"38","author":"wan","year":"2018","journal-title":"Elect Power Automat Equip"},{"key":"ref32","first-page":"2104","volume":"8","author":"goldberg","year":"1989","journal-title":"Genetic Algorithms in Search Optimization and Machine Learning"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(97)00043-X"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.11.024"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.08.009"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.05.023"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.04.007"},{"key":"ref34","first-page":"176","article-title":"Face recognition method based on LLE algorithm","volume":"10","author":"chen","year":"2007","journal-title":"J Comput Appl"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/etep.2466"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICSITech.2015.7407784"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2015.06.007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2006.10.007"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.02.159"},{"key":"ref20","first-page":"131","article-title":"Short-term wind speed forecasting by using hysteretic ELM model","volume":"27","author":"ao","year":"2017","journal-title":"Computer Technology and Development"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.02.092"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2014.2365580"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.01.094"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.03.103"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2014.03.068"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2013.02.002"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/en9100767"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2008.09.006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.05.026"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.02.012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2014.02.013"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TENCON.2016.7848081"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.10.040"},{"key":"ref15","first-page":"792","article-title":"Combination model for forecasting wind speed forecasting wind speed based on adaptive PSO-ELM","volume":"36","author":"bai","year":"2015","journal-title":"Acta Energiae Solaris Sinica"},{"key":"ref16","first-page":"29","article-title":"A hybrid short-term wind speed forecasting model based on ensemble empirical mode decomposition and improved extreme learning machine","volume":"10","author":"yihui","year":"2017","journal-title":"Power Syst Protection Control"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2854549"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/6231745"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CECNET.2011.5768746"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2013.04.056"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.08.108"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.01.022"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.energy.2015.08.045","article-title":"A robust combination approach for short-term wind speed forecasting and analysis—Combination of the ARIMA (autoregressive integrated moving average), ELM (extreme learning machine), SVM (support vector machine) and LSSVM (least square SVM) forecasts using a GPR (Gaussian process regression) model","volume":"93","author":"wang","year":"2015","journal-title":"Energy"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2016.01.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.10.145"},{"key":"ref49","first-page":"83","article-title":"Characteristics of power quality complex perturbation in complex noise environment","volume":"39","author":"nantian","year":"2018","journal-title":"Chin J Sci Instrum"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2010.10.031"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1002\/we.2261"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2017.10.075"},{"key":"ref48","first-page":"235","article-title":"Application of a random forest approach to model output statistics for use in day ahead wind power forecasts","volume":"5","author":"natenberg","year":"2013","journal-title":"Proc Symp Role Stat Methods Weather Climate Predict"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2017.03.064"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2017.06.095"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.04.014"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/en11071638"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.09.090"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08736235.pdf?arnumber=8736235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T18:14:31Z","timestamp":1643307271000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8736235\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2922662","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}