{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T20:19:03Z","timestamp":1783455543739,"version":"3.55.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["62576289"],"award-info":[{"award-number":["62576289"]}],"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":["62302030"],"award-info":[{"award-number":["62302030"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"New Chongqing Youth Innovation Talent Project","award":["CSTB2024NSCQ-QCXMX003"],"award-info":[{"award-number":["CSTB2024NSCQ-QCXMX003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1109\/tii.2026.3669226","type":"journal-article","created":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T19:52:25Z","timestamp":1778615545000},"page":"5642-5653","source":"Crossref","is-referenced-by-count":0,"title":["A Hybrid End-to-End Neural Network for Accurate Global Natural Gas Trade Forecast"],"prefix":"10.1109","volume":"22","author":[{"given":"Yu","family":"Yan","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gang","family":"Lu","sequence":"additional","affiliation":[{"name":"Energy Strategy and Planning Research Department, State Grid Energy Research Institute Company, Ltd., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqing","family":"Yan","sequence":"additional","affiliation":[{"name":"Energy Strategy and Planning Research Department, State Grid Energy Research Institute Company, Ltd., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Xia","sequence":"additional","affiliation":[{"name":"Energy Strategy and Planning Research Department, State Grid Energy Research Institute Company, Ltd., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Physics and Electronic Science, Zunyi Normal University, Zunyi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7788-9202","authenticated-orcid":false,"given":"Di","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Computer and Information Science, Southwest University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/en17040947"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2022.112962"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2023.128512"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.125912"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1186\/s42162-025-00524-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2018.00158"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371845"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5984"},{"key":"ref9","article-title":"Temporal graph networks for deep learning on dynamic graphs","author":"Rossi","year":"2020"},{"key":"ref10","first-page":"1","article-title":"Inductive representation learning on temporal graphs","volume-title":"Proc. 8th Int. Conf. Learn. Representations","author":"Xu","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02518-9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108216"},{"key":"ref13","first-page":"1","article-title":"FreeDyG: Frequency enhanced continuous-time dynamic graph model for link prediction","volume-title":"Proc. 12th Int. Conf. Learn. Representations","author":"Tian","year":"2024"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3331131"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2025.3545099"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3336348"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-024-04684-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1504\/IJSAMI.2025.143099"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoenv.2024.117607"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1177\/0972150921999521"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322089"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2020.01.014"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.125976"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpse.2024.100220"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.geoen.2025.213749"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3388089"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106240"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737631"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-024-00666-y"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s41060-025-00816-w"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-20981-3"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-50977-6"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2929108"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3203395"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2024.117695"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/11595910\/11514091.pdf?arnumber=11514091","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T19:48:37Z","timestamp":1783453717000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11514091\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":35,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tii.2026.3669226","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]}}}