{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T15:34:46Z","timestamp":1780414486136,"version":"3.54.1"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1109\/tii.2020.2977104","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T22:59:55Z","timestamp":1582930795000},"page":"659-666","source":"Crossref","is-referenced-by-count":113,"title":["Multiagent Reinforcement Learning for Energy Management in Residential Buildings"],"prefix":"10.1109","volume":"17","author":[{"given":"Mehdi","family":"Ahrarinouri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9056-6769","authenticated-orcid":false,"given":"Mohammad","family":"Rastegar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6081-3543","authenticated-orcid":false,"given":"Ali Reza","family":"Seifi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2728803"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2730440"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75097-2_12"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2013.2291943"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2015.11.017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2014.2304961"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2550031"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cta.2016.0653"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2018.11.021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2018.2855689"},{"key":"ref19","first-page":"18","article-title":"Reinforcement learning for demand response of domestic household appliances","author":"reymond","year":"2018","journal-title":"Adaptive and Learning Agents Workshop"},{"key":"ref28","article-title":"Solar radiation data","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2518920"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.07.002"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2014.10.011"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2018.01.045"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2014.02.057"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2019.05.016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2018.12.019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/en12040671"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.05.150"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2019.02.016"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.10.074"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2361485"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.scs.2016.01.010"},{"key":"ref21","first-page":"637","article-title":"Reinforcement learning-based control of residential energy storage systems for electric bill minimization","author":"guan","year":"2015","journal-title":"Proc 12th Annu IEEE Consum Commun Netw Conf"},{"key":"ref24","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2007.913919"},{"key":"ref26","first-page":"535","article-title":"An algorithm for distributed reinforcement learning in cooperative multi-agent systems","author":"lauer","year":"2000","journal-title":"Proc 17th Int Conf Mach Learn"},{"key":"ref25","first-page":"209","article-title":"Convergence and no-regret in multiagent learning","author":"bowling","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9424\/9244668\/09018178.pdf?arnumber=9018178","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:29Z","timestamp":1652194349000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9018178\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":30,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tii.2020.2977104","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]}}}