{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T20:38:54Z","timestamp":1780432734727,"version":"3.54.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["ECCS 1917275"],"award-info":[{"award-number":["ECCS 1917275"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1109\/tsg.2020.3035127","type":"journal-article","created":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T20:17:17Z","timestamp":1604089037000},"page":"1073-1087","source":"Crossref","is-referenced-by-count":90,"title":["Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5087-699X","authenticated-orcid":false,"given":"Hang","family":"Shuai","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3103-4452","authenticated-orcid":false,"given":"Haibo","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","year":"2020","journal-title":"Testing Load Data USA_ AK_ Fairbanks Intl AP 702610_ TMY3_ High CSV"},{"key":"ref38","year":"2020","journal-title":"Training Load Data USA_ AK_ Anchorage Intl Ap 702730_ Tmy3_ High CSV"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCNS.2014.2309732"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2801880"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref37","author":"pohlen","year":"2018","journal-title":"Observe and look further Achieving consistent performance on atari"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICEMS.2019.8921671"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2849386"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2186810"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2017.2681111"},{"key":"ref40","year":"2020","journal-title":"Wind and PV Power From Open Power System Data"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1109\/TSG.2015.2476669","article-title":"Bidding strategy for microgrid in day-ahead market based on hybrid stochastic\/robust optimization","volume":"7","author":"liu","year":"2016","journal-title":"IEEE Trans Smart Grid"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2598678"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2292525"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2825388"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2912491"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2494232.2465551"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s40565-019-00574-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2999383"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2462294"},{"key":"ref28","first-page":"1","article-title":"Deep reinforcement learning solutions for energy microgrids management","author":"fran\u00e7ois-lavet","year":"2016","journal-title":"Proceedings of the 8th European Workshop on Reinforcement Learning (EWRL)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2172\/1477589"},{"key":"ref27","author":"lei","year":"2020","journal-title":"Dynamic energy dispatch in isolated microgrids based on deep reinforcement learning"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2443119"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.04.103"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/en12122291"},{"key":"ref5","article-title":"Projects and trends in the global microgrid market by region, segment, business model, and top states and countries","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3032889"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2892201"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tej.2012.09.013"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2017.2724514"},{"key":"ref1","author":"schrittwieser","year":"2019","journal-title":"Mastering atari go chess and shogi by planning with a learned model"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2569604"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2014.2359004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2783894"},{"key":"ref42","year":"2020","journal-title":"Ray"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2018.2855039"},{"key":"ref41","year":"2020","journal-title":"Price Data"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2798039"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s40565-018-0456-7"},{"key":"ref26","author":"gao","year":"2014","journal-title":"Machine learning applications for data center optimization"},{"key":"ref43","first-page":"6212","article-title":"Research on energy management strategy of energy hub with energy router based on Lyapunov optimization method","volume":"39","author":"sheng","year":"2019","journal-title":"CSEE J Power Energy Syst"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2930299"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/5165411\/9364758\/9245590-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/9364758\/09245590.pdf?arnumber=9245590","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:14Z","timestamp":1652194394000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9245590\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":44,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2020.3035127","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}