{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:40:35Z","timestamp":1773276035121,"version":"3.50.1"},"reference-count":40,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T00:00:00Z","timestamp":1642550400000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51709121"],"award-info":[{"award-number":["51709121"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p>Accurate wind speed forecasting is an effective way to improve the safety and stability of power grid. A novel hybrid model based on twice decomposition, phase space reconstruction (PSR), and an improved multiverse optimizer\u2010extreme learning machine (IMVO\u2010ELM) is proposed to enhance the performance of short\u2010term wind speed forecasting in this paper. In consideration of the nonstationarity of the wind speed signal, a twice decomposition based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), fuzzy entropy, and variational mode decomposition (VMD) is proposed to reduce the nonstationarity of the original signal firstly. Then the PSR based on C\u2010C method is employed to reconstitute the decomposed signal as the input of the prediction model. Lastly, an improved multiverse optimizer is proposed to improve the stability and efficiency of ELM which is used as prediction model. Furthermore, two experiments are designed to verify the performance of the proposed method; the results indicate that (1) the wind speed forecasting with twice decomposition of original wind speed signal is better than other once\u2010decomposition methods and much better than forecasting without decomposition; (2) the C\u2010C\u2010PSR method can determine the input dimension of ELM and improve the prediction accuracy of ELM; (3) the IMVO has improved the stability of ELM, and the optimization efficiency is better than other comparison optimization methods. The results show that the proposed hybrid approach is a useful tool for short\u2010term wind speed forecasting.<\/jats:p>","DOI":"10.1155\/2022\/4014048","type":"journal-article","created":{"date-parts":[[2022,1,19]],"date-time":"2022-01-19T19:20:17Z","timestamp":1642620017000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Novel Hybrid Model for Short\u2010Term Wind Speed Forecasting Based on Twice Decomposition, PSR, and IMVO\u2010ELM"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2259-7982","authenticated-orcid":false,"given":"Xin","family":"Xia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaolu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,1,19]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.02.086"},{"key":"e_1_2_9_2_2","volume-title":"Global Wind Report","author":"Global Wind Energy Council","year":"2021"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2019.01.007"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2010.04.022"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2951153"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2018.11.043"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.07.059"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107452"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2010.10.031"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.13335\/j.1000-3673.pst.2016.2357"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2012.11.017"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.01.031"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.10.040"},{"key":"e_1_2_9_14_2","first-page":"22","article-title":"Application profiles of least support vector machine in short-term wind speed forecasting","volume":"14","author":"Xu B.","year":"2013","journal-title":"Electrical Engineering"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2016.03.103"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.08.014"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1061\/(asce)ey.1943-7897.0000362"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.02.092"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.054"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2015.06.007"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2013.02.002"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2012.05.002"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05141-w"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/464153"},{"key":"e_1_2_9_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2017.01.022"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.120941"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2017.06.095"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2019.01.014"},{"key":"e_1_2_9_29_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-07319-5"},{"key":"e_1_2_9_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2021.3119966"},{"key":"e_1_2_9_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.12.047"},{"key":"e_1_2_9_32_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2014.06.009"},{"key":"e_1_2_9_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04842-7"},{"key":"e_1_2_9_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-020-02631-3"},{"key":"e_1_2_9_35_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.04.010"},{"key":"e_1_2_9_36_2","first-page":"557","article-title":"Determination of phase-space reconstruction parameters of chaotic time series","volume":"44","author":"Cai W. D.","year":"2008","journal-title":"Kybernetika"},{"key":"e_1_2_9_37_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2018.07.070"},{"key":"e_1_2_9_38_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.090"},{"key":"e_1_2_9_39_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2015.03.010"},{"key":"e_1_2_9_40_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-1870-7"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2022\/4014048","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1155\/2022\/4014048","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2022\/4014048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T21:11:04Z","timestamp":1769116264000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2022\/4014048"}},"subtitle":[],"editor":[{"given":"Lingzhong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["10.1155\/2022\/4014048"],"URL":"https:\/\/doi.org\/10.1155\/2022\/4014048","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1]]},"assertion":[{"value":"2021-10-21","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-01-05","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-01-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"4014048"}}