{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:49:12Z","timestamp":1784645352671,"version":"3.55.0"},"reference-count":23,"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":"am","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":[{"name":"U.S. Department of Energy (DOE) through the Idaho National Laboratory (INL) Directed Research and Development (LDRD) Program under DOE Idaho Operations Office Contract","award":["DE-AC07- 05ID14517"],"award-info":[{"award-number":["DE-AC07- 05ID14517"]}]},{"name":"U.S. Department of Energy (DOE) through the Idaho National Laboratory (INL) Directed Research and Development (LDRD) Program under DOE Idaho Operations Office Contract","award":["TSG-00055-2025"],"award-info":[{"award-number":["TSG-00055-2025"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tsg.2025.3630562","type":"journal-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T18:10:48Z","timestamp":1762539048000},"page":"1549-1560","source":"Crossref","is-referenced-by-count":5,"title":["Generative AI-Enhanced Real-Time Anomaly Detection in Integrated Energy Systems"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1796-0118","authenticated-orcid":false,"given":"Sobhan","family":"Badakhshan","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7478-5670","authenticated-orcid":false,"given":"Jie","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Department of Electrical and Computer Engineering (Affiliated), The University of Texas at Dallas, Richardson, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2024.120328"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.joule.2020.11.004"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2023.3295573"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.129443"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-31257-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2019.2958562"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3157856"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2024.124346"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2870358"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2022.118650"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en16114367"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119039"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/en15155565"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2783242"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/en12112209"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3199240"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-57024-8_6"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2022.10.008"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-19366-3"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2022.3215510"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2922671"},{"key":"ref22","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Arjovsky","year":"2017"},{"key":"ref23","article-title":"Improved training of Wasserstein gans","author":"Gulrajani","year":"2017","journal-title":"arxiv:1704.00028"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/5165411\/11404354\/11232457-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165411\/11404354\/11232457.pdf?arnumber=11232457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T20:48:26Z","timestamp":1771879706000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11232457\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":23,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2025.3630562","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}