{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T01:37:24Z","timestamp":1770341844570,"version":"3.49.0"},"reference-count":43,"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\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3201674","type":"journal-article","created":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T19:33:55Z","timestamp":1661456035000},"page":"89568-89580","source":"Crossref","is-referenced-by-count":6,"title":["Wind Turbine Clustering and Equivalent Parameter Identification in Multitime Scales Based on the Deep Migration of Multiview Features"],"prefix":"10.1109","volume":"10","author":[{"given":"Xiaorui","family":"Hu","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1944-2848","authenticated-orcid":false,"given":"Zengyi","family":"Shang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China"}]},{"given":"Pengbo","family":"Yi","sequence":"additional","affiliation":[{"name":"Shenzhen Power Supply Company Ltd., Shenzhen, China"}]},{"given":"Yan","family":"Xiao","sequence":"additional","affiliation":[{"name":"Shanxi Yunneng Power Survey and Design Company, Yuncheng, China"}]},{"given":"Yaocheng","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China"}]},{"given":"Jiayang","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Northeast Electric Power University, Jilin, China"}]}],"member":"263","reference":[{"issue":"16","key":"ref1","first-page":"2","article-title":"Overview of power system uncertainty and its solutions under energy transition","volume":"45","author":"Xiaoyuan","year":"2021","journal-title":"Autom. Electr. Power Syst."},{"key":"ref2","volume-title":"Research on multi-rate simulation of large scale renewable energy connected system based on time-frequency transformation and identification aggregation theory","author":"Li","year":"2020"},{"issue":"2","key":"ref3","first-page":"461","article-title":"New issues and classification of power system stability with high shares of renewables and power electronics","volume":"41","author":"Xie","year":"2021","journal-title":"Proc. CSEE"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/9781118104965"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2539251"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2953666"},{"issue":"3","key":"ref7","first-page":"621","article-title":"Coherency-based dynamic equivalence of wind farm composed of doubly fed induction generators","volume":"39","author":"Xueping","year":"2015","journal-title":"Power Syst. Technol."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2828411"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2016.03.050"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2016.2551287"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2015.04.040"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2016.2563162"},{"issue":"6","key":"ref13","first-page":"1639","article-title":"An active power response based practical equivalent method for DFIG wind farms","volume":"38","author":"Chao","year":"1900","journal-title":"Proc. CSEE"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2017.2749761"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2020.2970377"},{"issue":"5","key":"ref16","first-page":"162","article-title":"Multi-machine representation method for dynamic equivalent model of wind farms","volume":"25","author":"Mi","year":"2010","journal-title":"Trans. China Electrotech. Soc."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.03.180"},{"issue":"17","key":"ref18","first-page":"72","article-title":"Study on dynamic equivalence model of wind farms with wind turbine driven doubly fed induction generator","volume":"34","author":"Mi","year":"2010","journal-title":"Autom. Electr. Power Syst."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2021.3054871"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2015.2431258"},{"issue":"4","key":"ref21","first-page":"11","article-title":"Dynamic equivalence for wind farms based on clustering algorithm","volume":"32","author":"Chen","year":"2012","journal-title":"Proc. CSEE"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2008.10.005"},{"issue":"S1","key":"ref23","first-page":"69","article-title":"Study on characteristics of wind power fluctuation based on mixed distribution model","volume":"36","author":"Mao","year":"2016","journal-title":"Proc. CSEE"},{"issue":"20","key":"ref24","first-page":"5461","article-title":"The K-means clustering algorithm for wind farm based on immune-outlier data and immune-sensitive initial center","volume":"36","author":"Lin","year":"2016","journal-title":"Proc. CSEE"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2019.105740"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2019.2929486"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2019.2927704"},{"issue":"15","key":"ref28","first-page":"4866","article-title":"Wind turbines clustering in wind farm based on multi-view transfer learning and synthetic optimization of parameters in equivalent wind farm","volume":"40","author":"Han","year":"2020","journal-title":"Proc. CSEE"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2018.2858738"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.23919\/ChiCC.2019.8866136"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/PSCE.2011.5772553"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/PESC.2008.4592358"},{"key":"ref33","first-page":"1","article-title":"Multi-machine equivalence and global identification of wind farms by combining model aggregation and parameter estimation","author":"Xueping","year":"2021","journal-title":"Electr. Power Automat. Equip."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref36","article-title":"Deep temporal clustering: Fully unsupervised learning of time-domain features","author":"Madiraju","year":"2018","journal-title":"arXiv:1802.01059"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.2174\/1566524018666180611074856"},{"key":"ref39","first-page":"1437","article-title":"BOHB: Robust and efficient hyperparameter optimization at scale","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Falkner"},{"issue":"1","key":"ref40","first-page":"75","article-title":"Dynamic equivalent model of a grid-connected wind farm for oscillation stability analysis","volume":"41","author":"Wenkai","year":"2021","journal-title":"Proc. CSEE"},{"key":"ref41","volume-title":"Research of equivalent modeling of large wind farm","author":"Xia","year":"2019"},{"issue":"1","key":"ref42","first-page":"13","article-title":"A novel probabilistic framework with interpretability for generator coherency identification","volume":"4","author":"Li","year":"2022","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107952"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09866767.pdf?arnumber=9866767","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T05:50:06Z","timestamp":1709358606000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9866767\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3201674","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}