{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T14:04:38Z","timestamp":1768313078940,"version":"3.49.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100013096","name":"Science and Technology Project of State Grid Liaoning Electric Power Company Ltd","doi-asserted-by":"publisher","award":["2024YF-103"],"award-info":[{"award-number":["2024YF-103"]}],"id":[{"id":"10.13039\/501100013096","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3651552","type":"journal-article","created":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T18:36:49Z","timestamp":1767724609000},"page":"4508-4519","source":"Crossref","is-referenced-by-count":0,"title":["Day-Ahead Wind Power Ramp Events Forecasting Method for Extreme Weather Based on TimeGAN and Diffusion Model"],"prefix":"10.1109","volume":"14","author":[{"given":"Junjie","family":"Sun","sequence":"first","affiliation":[{"name":"Electric Power Research Institute, State Grid Liaoning Electric Power Company Ltd., Shenyang, China"}]},{"given":"Dai","family":"Cui","sequence":"additional","affiliation":[{"name":"Electric Power Research Institute, State Grid Liaoning Electric Power Company Ltd., Shenyang, China"}]},{"given":"Jifeng","family":"Cheng","sequence":"additional","affiliation":[{"name":"Electric Power Research Institute, State Grid Liaoning Electric Power Company Ltd., Shenyang, China"}]},{"given":"Zihao","family":"Tong","sequence":"additional","affiliation":[{"name":"Yanzhao Electric Power Laboratory, North China Electric Power University, Baoding, China"}]},{"given":"Kangda","family":"Zhao","sequence":"additional","affiliation":[{"name":"Yanzhao Electric Power Laboratory, North China Electric Power University, Baoding, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2904-9869","authenticated-orcid":false,"given":"Haonan","family":"Dai","sequence":"additional","affiliation":[{"name":"Yanzhao Electric Power Laboratory, North China Electric Power University, Baoding, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7332-9726","authenticated-orcid":false,"given":"Fei","family":"Wang","sequence":"additional","affiliation":[{"name":"Yanzhao Electric Power Laboratory, North China Electric Power University, Baoding, China"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"National Energy Administration","year":"2025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2023.03.131"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyr.2021.08.137"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2020.106411"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3105747"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/gtd2.12963"},{"issue":"21","key":"ref7","first-page":"173","article-title":"Demand response resource potential assessment methods, applications and prospects","volume":"47","author":"Wang","year":"2023","journal-title":"Autom. Electr. Power Syst."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2023.3294839"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.125888"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.suscom.2022.100795"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/PCMP.2023.000221"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2023.3321267"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2023.3321863"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.126420"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2022.119579"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2021.02.123"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2806\/1\/012014"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICPSAsia58343.2023.10294410"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1049\/rpg2.12595"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.12.017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/we.2774"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2024.118767"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1049\/ein2.12009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1049\/ein2.12010"},{"issue":"3","key":"ref25","first-page":"987","article-title":"A review on generative adversarial networks for power system applications","volume":"43","author":"Shao","year":"2023","journal-title":"Proc. Chin. Soc. Electr. Eng."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2025.136991"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2025.110876"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2024.122123"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.131802"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.128947"},{"key":"ref31","first-page":"35","volume-title":"China Meteorological Administration. Specification for Ground Meteorological Observation","year":"2003"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.124919"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/GreenTech.2013.30"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2023.3339331"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2008.919072"},{"key":"ref36","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Kipf"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11333313.pdf?arnumber=11333313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T08:53:10Z","timestamp":1768294390000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11333313\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3651552","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}