{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T17:52:52Z","timestamp":1780595572074,"version":"3.54.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB0505000"],"award-info":[{"award-number":["2018YFB0505000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2980562","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T20:12:45Z","timestamp":1584130365000},"page":"51482-51499","source":"Crossref","is-referenced-by-count":50,"title":["Research on a Novel Combination System on the Basis of Deep Learning and Swarm Intelligence Optimization Algorithm for Wind Speed Forecasting"],"prefix":"10.1109","volume":"8","author":[{"given":"Xiaohui","family":"He","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3978-6640","authenticated-orcid":false,"given":"Ying","family":"Nie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengliang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9078-7617","authenticated-orcid":false,"given":"Jianzhou","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref38","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","author":"bishop","year":"1995","journal-title":"Neural Networks for Pattern Recognition"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1998.0193"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2003.821662"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1142\/S1793536909000047"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2015.01.063"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.envsoft.2004.07.008"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/S1352-2310(03)00330-3"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611971200"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/5237.001.0001"},{"key":"ref28","first-page":"37","article-title":"The status and development of the combination forecast method","volume":"6","author":"wang","year":"1997","journal-title":"Forecast"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1057\/jors.1969.103"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.01.050"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2019.2890875"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.03.036"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2014.03.033"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.solener.2004.09.013"},{"key":"ref21","first-page":"243","article-title":"A neural network approach to multi-step-ahead, short-term wind speed forecasting","author":"jl","year":"2013","journal-title":"Proc 12th Int Conf Mach Learn Appl"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2008.09.006"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2019.05.026"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2006.01.032"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2014.11.082"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/PESW.2001.916969"},{"key":"ref51","author":"kennedy","year":"2001","journal-title":"Swarm Intelligence"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1994.2.3.221"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2016.07.113"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.07.052"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2018.10.129"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.07.022"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.09.005"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.11.034"},{"key":"ref52","author":"witten","year":"2011","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2014.06.056"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.atmosres.2014.12.011"},{"key":"ref40","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances Neural Information Processing Systems"},{"key":"ref12","author":"milligan","year":"2003","journal-title":"Statistical Wind Power Forecasting Models Results for U S Wind Farms"},{"key":"ref13","article-title":"Statistical wind power forecasting for U.S. Wind farms","author":"milligan","year":"2004","journal-title":"Bull Amer Meteorol Soc"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.02.032"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.04.007"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1276958.1277361"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2011.08.007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2010.08.026"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.061"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2013.02.002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.01.063"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2010.05.041"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2009.12.013"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.11.071"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2017.01.035"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2013.08.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2018.10.019"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2014.08.069"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2004.07.024"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.02.044"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.07.029"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref41","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref44","author":"box","year":"1970","journal-title":"Time Series Analysis Forecasting and Control"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09035507.pdf?arnumber=9035507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T04:37:22Z","timestamp":1722573442000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9035507\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2980562","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}