{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T15:14:37Z","timestamp":1781018077975,"version":"3.54.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFE0198700"],"award-info":[{"award-number":["2022YFE0198700"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Consumer Electron."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tce.2023.3279869","type":"journal-article","created":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T17:30:40Z","timestamp":1685640640000},"page":"3548-3561","source":"Crossref","is-referenced-by-count":15,"title":["Deep Reinforcement Learning-Based Security-Constrained Battery Scheduling in Home Energy System"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8588-4284","authenticated-orcid":false,"given":"Bo","family":"Wang","sequence":"first","affiliation":[{"name":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongyi","family":"Zha","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lijun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3606-122X","authenticated-orcid":false,"given":"Lei","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0370-173X","authenticated-orcid":false,"given":"Huijin","family":"Fan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2017.015014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2018.2885034"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2021.3051164"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-813185-5.00025-5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2012.6414985"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.09.188"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.10.140"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2012.02.047"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.apenergy.2016.02.075","article-title":"Integrated energy systems","volume":"167","author":"Wu","year":"2016","journal-title":"Appl. Energy"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.04.103"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.09.081"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.2964389"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.03.010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2020.114498"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICoSC.2018.8587815"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.114423"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2014.0040"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s12667-013-0100-6"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-0237-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2022.3181105"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1724-z"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2361485"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2823641"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2801880"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992698"},{"key":"ref27","first-page":"9949","article-title":"Non-delusional Q-learning and value-iteration","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Lu"},{"key":"ref28","first-page":"9187","article-title":"ConQUR: Mitigating delusional bias in deep Q-learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Su"},{"key":"ref29","first-page":"4299","article-title":"Deep reinforcement learning from human preferences","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Christiano"},{"key":"ref30","first-page":"9105","article-title":"Learning safe policies with expert guidance","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","author":"Huang"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05663-3"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2431072"},{"key":"ref33","article-title":"Playing Atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"arXiv:1312.5602"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/0038-092X(93)90060-2"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/0471755621.ch15"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2016.0772"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.01.090"},{"key":"ref38","article-title":"Maximum-likelihood estimation for mixture models: The EM algorithm","volume-title":"EEL6935 Fall","author":"Nechyba"},{"key":"ref39","article-title":"High-dimensional continuous control using generalized advantage estimation","author":"Schulman","year":"2015","journal-title":"arXiv:1506.02438"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/en7010130"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2020.3008261"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/192115.192124"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-24149-3_15"}],"container-title":["IEEE Transactions on Consumer Electronics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/30\/10510045\/10142173.pdf?arnumber=10142173","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T18:56:13Z","timestamp":1714762573000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10142173\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tce.2023.3279869","relation":{},"ISSN":["0098-3063","1558-4127"],"issn-type":[{"value":"0098-3063","type":"print"},{"value":"1558-4127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}