{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:29:44Z","timestamp":1775665784162,"version":"3.50.1"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology, Taiwan","doi-asserted-by":"publisher","award":["MOST 110-2221-E-007-097-MY2"],"award-info":[{"award-number":["MOST 110-2221-E-007-097-MY2"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1109\/tetci.2022.3157026","type":"journal-article","created":{"date-parts":[[2022,3,21]],"date-time":"2022-03-21T20:25:50Z","timestamp":1647894350000},"page":"568-579","source":"Crossref","is-referenced-by-count":62,"title":["Multiagent Reinforcement Learning for Community Energy Management to Mitigate Peak Rebounds Under Renewable Energy Uncertainty"],"prefix":"10.1109","volume":"6","author":[{"given":"Bo-Chen","family":"Lai","sequence":"first","affiliation":[{"name":"MOCaRL Lab, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2450-9314","authenticated-orcid":false,"given":"Wei-Yu","family":"Chiu","sequence":"additional","affiliation":[{"name":"MOCaRL Lab, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan"}]},{"given":"Yuan-Po","family":"Tsai","sequence":"additional","affiliation":[{"name":"MOCaRL Lab, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2414880"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2013.10.022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.11.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2251018"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2014.10.017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2014.2307474"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2012.2218262"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2014.2316639"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.05.118"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2274521"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2290894"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2399359"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2009.76"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2965221"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2013.2291003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2459753"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2010.2089069"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2426015"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2015.2390035"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2521377"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2018.2865223"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2909266"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2018.2855689"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2971427"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2021.3073652"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ISGT-Europe47291.2020.9248933"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.06.010"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2307835"},{"issue":"3\/4","key":"ref29","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1023\/A:1022676722315","article-title":"Q-learning","volume":"8","author":"Watkins","year":"1992","journal-title":"Mach. Learn."},{"key":"ref30","article-title":"PJM interconnection","year":"2022"},{"key":"ref31","article-title":"World Weather Online","year":"2022"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/pr6080106"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7433297\/9778849\/09739038.pdf?arnumber=9739038","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:38:15Z","timestamp":1705538295000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9739038\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":32,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2022.3157026","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6]]}}}