{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T21:26:13Z","timestamp":1771881973389,"version":"3.50.1"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52177078"],"award-info":[{"award-number":["52177078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52407095"],"award-info":[{"award-number":["52407095"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tsg.2025.3628565","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T18:45:20Z","timestamp":1762195520000},"page":"1653-1663","source":"Crossref","is-referenced-by-count":0,"title":["A Physics-Guided Deep Learning Framework for Wide-Band Oscillation Parameter Estimation in Power Systems"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0521-9872","authenticated-orcid":false,"given":"Junfeng","family":"Duan","sequence":"first","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3391-5269","authenticated-orcid":false,"given":"Yao","family":"Zheng","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2471-6075","authenticated-orcid":false,"given":"Qin","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3348-1659","authenticated-orcid":false,"given":"Wei","family":"Qiu","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3439-0142","authenticated-orcid":false,"given":"Wenxuan","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2965455"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2901935"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2023.113148"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1049\/gtd2.12845"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2021.3054889"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2025.3580084"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT-Europe54678.2022.9960589"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2020.113620"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3187109"},{"issue":"7","key":"ref10","first-page":"2497","article-title":"Synchronized wideband measurement technology and its applications","volume":"42","author":"Jin","year":"2022","journal-title":"Proc. CSEE"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2959811"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/etep.1994"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2002.807116"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2055901"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2281004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2963953"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2267931"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.21595\/jve.2021.21871"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3071269"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2872505"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/EI250167.2020.9346940"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACPEE60788.2024.10532264"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/EI250167.2020.9347304"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2021.3072889"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3081017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2934901"},{"key":"ref29","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0049124104268644"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2912815"},{"key":"ref32","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref33","first-page":"5769","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Gulrajani"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165411\/11404354\/11224501.pdf?arnumber=11224501","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T20:48:42Z","timestamp":1771879722000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11224501\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":33,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2025.3628565","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}