{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T16:06:01Z","timestamp":1788019561243,"version":"build-2784847793"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"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":["62403018"],"award-info":[{"award-number":["62403018"]}],"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":["92467205"],"award-info":[{"award-number":["92467205"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"R&D Program of Beijing Municipal Education Commission","award":["KM202410005032"],"award-info":[{"award-number":["KM202410005032"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tii.2025.3626938","type":"journal-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T18:52:44Z","timestamp":1763146364000},"page":"1406-1417","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic Correlation-Guided Graph Spatiotemporal Learning for Bed Temperature Prediction of Circulating Fluidized Beds"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0969-673X","authenticated-orcid":false,"given":"Guangwei","family":"Chen","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory of Smart Environmental Protection, College of Carbon Neutrality Future Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2139-2173","authenticated-orcid":false,"given":"Wenhui","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory of Smart Environmental Protection, College of Carbon Neutrality Future Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5617-4075","authenticated-orcid":false,"given":"Honggui","family":"Han","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory of Smart Environmental Protection, College of Carbon Neutrality Future Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2371-1341","authenticated-orcid":false,"given":"Mingyue","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory of Smart Environmental Protection, College of Carbon Neutrality Future Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6269-789X","authenticated-orcid":false,"given":"Zi-Peng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory of Smart Environmental Protection, College of Carbon Neutrality Future Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0950-7900","authenticated-orcid":false,"given":"Junfei","family":"Qiao","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing Laboratory of Smart Environmental Protection, College of Carbon Neutrality Future Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-68964-w"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2022.112725"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2024.130376"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1134\/S0040601521020051"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.biombioe.2011.05.033"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.powtec.2016.10.062"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2020.118877"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2018.12.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.applthermaleng.2019.114420"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2020.104484"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.122914"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.powtec.2019.07.042"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2478\/cpe-2014-0015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.116733"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2023.130547"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-024-05609-5"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2012.04.022"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.pecs.2006.08.002"},{"key":"ref19","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf","year":"2016"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3060430"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2983763"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/326"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.06.001"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3285253"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3268467"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3193414"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3285804"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2022.101687"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-01119-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.05.028"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3077537"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105239"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2024.3476309"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2021.104884"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/11372499\/11249490.pdf?arnumber=11249490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:11:23Z","timestamp":1770671483000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11249490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":35,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tii.2025.3626938","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}