{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T06:11:08Z","timestamp":1776406268599,"version":"3.51.2"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001447","name":"Energy Market Authority of Singapore through the EDGE Programme","doi-asserted-by":"publisher","award":["EDGE-GC2018-002"],"award-info":[{"award-number":["EDGE-GC2018-002"]}],"id":[{"id":"10.13039\/501100001447","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/tsg.2021.3122570","type":"journal-article","created":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T19:45:14Z","timestamp":1635191114000},"page":"861-876","source":"Crossref","is-referenced-by-count":87,"title":["Online Optimal Power Scheduling of a Microgrid via Imitation Learning"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3208-9620","authenticated-orcid":false,"given":"Shuhua","family":"Gao","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1229-6860","authenticated-orcid":false,"given":"Cheng","family":"Xiang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3336-3137","authenticated-orcid":false,"given":"Ming","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Kuan Tak","family":"Tan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2785-516X","authenticated-orcid":false,"given":"Tong Heng","family":"Lee","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2443119"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MPE.2008.918702"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2244104"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2798039"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.04.103"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.08.197"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2013.2295737"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2012.2231440"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2018.10.032"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2011.2162008"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en12122291"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3035127"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2924025"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2627583"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2012.2212729"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2863049"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2806973"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2017.2694340"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2834219"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.3818"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027599"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2881540"},{"key":"ref23","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2930299"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2855039"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2495145"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2823641"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2971427"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2996274"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3047890"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1561\/9781680834116"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/icaps.v29i1.3528"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27430-0_1"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3054912"},{"key":"ref35","first-page":"3309","article-title":"Deeply AggreVaTeD: Differentiable imitation learning for sequential prediction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sun"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6377(03)00059-2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2013.2272973"},{"key":"ref38","volume-title":"Deep Learning","volume":"1","author":"Goodfellow","year":"2016"},{"key":"ref39","first-page":"627","article-title":"A reduction of imitation learning and structured prediction to no-regret online learning","volume-title":"Proc. 14th Int. Conf. Artif. Intell. Stat. JMLR Workshop Conf.","author":"Ross"},{"key":"ref40","first-page":"1","article-title":"Universal approximation with deep narrow networks","volume-title":"Proc. COLT","author":"Kidger"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref42","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2726941"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/en14082120"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/9717983\/09585298.pdf?arnumber=9585298","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:33:40Z","timestamp":1705012420000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9585298\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":44,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2021.3122570","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}