{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:47:11Z","timestamp":1784645231437,"version":"3.55.0"},"reference-count":89,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003052","name":"Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea","doi-asserted-by":"publisher","award":["20199810100050"],"award-info":[{"award-number":["20199810100050"]}],"id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1109\/tnsm.2021.3049381","type":"journal-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T21:46:26Z","timestamp":1609883186000},"page":"3476-3497","source":"Crossref","is-referenced-by-count":57,"title":["Risk-Aware Energy Scheduling for Edge Computing With Microgrid: A Multi-Agent Deep Reinforcement Learning Approach"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7255-1085","authenticated-orcid":false,"given":"Md. Shirajum","family":"Munir","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2966-6469","authenticated-orcid":false,"given":"Sarder Fakhrul","family":"Abedin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7323-9213","authenticated-orcid":false,"given":"Nguyen H.","family":"Tran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6606-5822","authenticated-orcid":false,"given":"Zhu","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0184-6975","authenticated-orcid":false,"given":"Eui-Nam","family":"Huh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3484-7333","authenticated-orcid":false,"given":"Choong Seon","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.jet.2003.10.001"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.32917\/hmj\/1206139508"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50027-1"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/BF02943300"},{"key":"ref76","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc 3rd Int Conf Learn Representations (ICLR)"},{"key":"ref77","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Int Conf Mach Learn"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2826844"},{"key":"ref75","first-page":"2145","article-title":"Learning to communicate with Deep multi-agent reinforcement learning","author":"foerster","year":"2016","journal-title":"Proc 30th Int Conf Neural Inf Process Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2776104"},{"key":"ref78","year":"2019","journal-title":"Power Consumption Benchmarks"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737577"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2012.041912.110912"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2017.7997128"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1700888"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1186\/s13677-017-0097-9"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2749469.2750381"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2481183"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2014.7007652"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2015.7143338"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2017.2725277"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2012.12.036"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2012.97"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-4266(02)00271-6"},{"key":"ref28","year":"2007","journal-title":"Sustainable energy use in mobile communications"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.21314\/JOR.2002.057"},{"key":"ref27","year":"2017","journal-title":"Cisco Visual Networking Index Global Mobile Data Traffic Forecast Update"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2014.2341642"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9939-1970-0279266-8"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2015.7120023"},{"key":"ref67","volume":"1","author":"feller","year":"1968","journal-title":"An Introduction to Probability Theory and Its Applications"},{"key":"ref68","author":"lagoudakis","year":"1996","journal-title":"The 0&#x2013;1 Knapsack Problem An Introductory Survey"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/1052796.1052804"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2849509"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM38437.2019.9013574"},{"key":"ref22","year":"2017","journal-title":"THE Standard ETSI News Letter-Issue 2"},{"key":"ref21","first-page":"5770","article-title":"A student&#x2019;s t filter for heavy tailed process and measurement noise","author":"roth","year":"2013","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903499"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.23919\/APNOMS.2019.8892984"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2941498"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2551282"},{"key":"ref50","first-page":"6382","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","author":"lowe","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref51","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume":"48","author":"mnih","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2011.6056691"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2018.2870888"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2018.2841758"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888869"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2760160"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2652464"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1002\/bltj.20096"},{"key":"ref52","author":"giust","year":"2018","journal-title":"MEC deployments in 4G and evolution towards 5G"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2015.10.133"},{"key":"ref11","first-page":"10","article-title":"Measuring historical volatility","volume":"16","author":"ederington","year":"2006","journal-title":"J Appl Finance"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2753802"},{"key":"ref12","first-page":"3509","article-title":"Algorithms for CVaR optimization in MDPs","volume":"2","author":"chow","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2900044"},{"key":"ref14","author":"fund","year":"2014","journal-title":"CRAWDAD Dataset Nyupoly\/Video (V 2014-05-09)"},{"key":"ref15","year":"2018","journal-title":"Solar Panel Dataset"},{"key":"ref82","year":"2020","journal-title":"15 000+ Solar Panels 5 Buildings & 2 Parking Lots"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/PESW.2002.985003"},{"key":"ref81","first-page":"607","article-title":"A complexity analysis of cooperative mechanisms in reinforcement learning","volume":"2","author":"whitehead","year":"1991","journal-title":"Proc AAAI 9th Nat Conf Artif"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/INDIN.2015.7281859"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.3389\/neuro.01.014.2008"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2018.2805718"},{"key":"ref83","volume":"1","author":"sutton","year":"2017","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref19","volume":"135","author":"sutton","year":"1998","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1613\/jair.301"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2037720"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2015.2404576"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN.2015.7057878"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2769644"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2017.2655462"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761160"},{"key":"ref8","article-title":"MEC in 5G networks","author":"kekki","year":"2018"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2016.2599530"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2899673"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2846694"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2881191"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2790421"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2014.032014.00094"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN.2018.8343172"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICOIN.2016.7427078"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2868875"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2010.2044174"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2639033"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2015.10.017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2006.879272"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2018.06.004"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/9530845\/09313066.pdf?arnumber=9313066","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:50Z","timestamp":1652194370000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9313066\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":89,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2021.3049381","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9]]}}}