{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T16:25:11Z","timestamp":1773851111152,"version":"3.50.1"},"reference-count":47,"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":"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\/501100004853","name":"Shun Hing Institute of Advanced Engineering, the Chinese University of Hong Kong","doi-asserted-by":"publisher","award":["RNE-p5-19"],"award-info":[{"award-number":["RNE-p5-19"]}],"id":[{"id":"10.13039\/501100004853","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.2020.3028470","type":"journal-article","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T20:18:54Z","timestamp":1601669934000},"page":"1416-1428","source":"Crossref","is-referenced-by-count":105,"title":["Optimal Policy Characterization Enhanced Actor-Critic Approach for Electric Vehicle Charging Scheduling in a Power Distribution Network"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0077-8624","authenticated-orcid":false,"given":"Jiangliang","family":"Jin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0110-8032","authenticated-orcid":false,"given":"Yunjian","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref38","first-page":"1008","article-title":"Actor-critic algorithms","author":"konda","year":"2000","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/61.25627"},{"key":"ref32","first-page":"1","article-title":"Large scale charging of electric vehicles","author":"chen","year":"2012","journal-title":"Proc IEEE Power Energy Soc Gen Meeting"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2764484"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/61.19265"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/0893-6080(89)90020-8"},{"key":"ref36","author":"schulman","year":"2017","journal-title":"Proximal policy optimization algorithms"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2013.6760555"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472320"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2609416"},{"key":"ref40","author":"lillicrap","year":"2015","journal-title":"Continuous control with deep reinforcement learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2558585"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2609933"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2017.0636"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2948596"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2274673"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2512501"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2016.2541305"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2667599"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2393059"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2015.06.007"},{"key":"ref27","author":"haarnoja","year":"2018","journal-title":"Soft actor-critic algorithms and applications"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2447154"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2841965"},{"key":"ref29","year":"1992","journal-title":"IEEE 13 Node Distribution Test Feeders"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2496796"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2421299"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2014.2385711"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2740834"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2582749"},{"key":"ref1","author":"mckerracher","year":"2019","journal-title":"Electric Vehicle Outlook 2019"},{"key":"ref46","author":"hill","year":"2018","journal-title":"Stable Baselines"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2517211"},{"key":"ref45","year":"2017","journal-title":"Markets and Operations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2879572"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-013-5368-1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2016.2603536"},{"key":"ref42","year":"2017","journal-title":"Electric Chargepoint Analysis 2017 Public Sector Fasts"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2955437"},{"key":"ref41","first-page":"1889","article-title":"Trust region policy optimization","author":"schulman","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2952331"},{"key":"ref44","year":"2017","journal-title":"Historical market data"},{"key":"ref26","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref43","year":"2017","journal-title":"PV Live"},{"key":"ref25","first-page":"6995","article-title":"Sample-optimal parametric Q-learning using linearly additive features","author":"yang","year":"2019","journal-title":"Proc Int Conf Mach Learn"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/9364758\/09211734.pdf?arnumber=9211734","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\/9211734\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":47,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2020.3028470","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}