{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T15:39:09Z","timestamp":1783611549029,"version":"3.55.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100017610","name":"Shenzhen Science and Technology Program","doi-asserted-by":"publisher","award":["KQTD20170810150821146"],"award-info":[{"award-number":["KQTD20170810150821146"]}],"id":[{"id":"10.13039\/501100017610","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tsg.2023.3266342","type":"journal-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T17:28:18Z","timestamp":1681234098000},"page":"973-986","source":"Crossref","is-referenced-by-count":17,"title":["Boosted Multi-Task Learning for Inter-District Collaborative Load Forecasting"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2369-0975","authenticated-orcid":false,"given":"Haizhou","family":"Liu","sequence":"first","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7537-4002","authenticated-orcid":false,"given":"Xuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5465-9818","authenticated-orcid":false,"given":"Hongbin","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8994-1688","authenticated-orcid":false,"given":"Mohammad","family":"Shahidehpour","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2688178"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2868167"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.07.009"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/en11010213"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2014.08.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.12.736"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2889995"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2003.811010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2005.857075"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.115440"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2686012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2972513"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2995777"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/en10081168"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.11.011"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2833869"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_14"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2009.2012992"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref20","first-page":"14580","article-title":"Assisted learning: A framework for multi-organization learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Xian"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3070203"},{"key":"ref22","article-title":"An overview of multi-task learning in deep neural networks","author":"Ruder","year":"2017","journal-title":"arXiv:1706.05098"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2555788"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2928275"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.118303"},{"key":"ref26","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Stat. (AISTATS)","author":"McMahan"},{"key":"ref27","article-title":"FederBoost: Private federated learning for GBDT","author":"Tian","year":"2020","journal-title":"arXiv:2011.02796"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM50583.2021.9439129"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/PerCom53586.2022.9762352"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3066577"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3110784"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2021.107669"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tsg.2022.3215742"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/59.898089"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2008.920078"},{"key":"ref36","article-title":"XGBoostLSS\u2013An extension of XGBoost to probabilistic forecasting","author":"M\u00e4rz","year":"2019","journal-title":"arXiv:1907.03178"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tsg.2023.3266342"},{"key":"ref38","volume-title":"World temperatures\u2013weather around the world","year":"2022"},{"key":"ref39","volume-title":"Google Map","year":"2022"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000001437"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/10372481\/10098954.pdf?arnumber=10098954","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T01:57:11Z","timestamp":1705024631000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10098954\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":40,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2023.3266342","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}