{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T19:51:41Z","timestamp":1791489101125,"version":"4.3.4"},"reference-count":26,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3739019","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T19:21:41Z","timestamp":1790796101000},"page":"152311-152331","source":"Crossref","is-referenced-by-count":0,"title":["Risk-Constrained Dynamic Pricing for Public EV Charging Stations Using Offline Counterfactual Learning"],"prefix":"10.1109","volume":"14","author":[{"given":"Lingjun","family":"Kong","sequence":"first","affiliation":[{"name":"China Mobile IoT Company Ltd.","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5161-7922","authenticated-orcid":false,"given":"Shuaishuai","family":"Guo","sequence":"additional","affiliation":[{"name":"China Mobile IoT Company Ltd.","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Mobile IoT Company Ltd.","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Liu","sequence":"additional","affiliation":[{"name":"China Mobile IoT Company Ltd.","place":["Chongqing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Global EV Outlook 2025: Trends Electric Cars Charging Infrastructure","year":"2025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trd.2023.103824"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tsg.2021.3074437"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2017.05.051"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-025-04982-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-00956-1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-02942-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2026.100921"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1214\/14-sts500"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/2740908.2742564"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jup.2025.102038"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/mits.2022.3198019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/smartcities5010014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.rtbm.2025.101535"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/70.1.41"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/87.3.706"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1080\/00273171.2011.568786"},{"key":"ref18","first-page":"652","article-title":"Doubly robust off-policy value evaluation for reinforcement learning","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","volume":"48","author":"Jiang"},{"key":"ref19","first-page":"2139","article-title":"Data-efficient off-policy policy evaluation for reinforcement learning","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","volume":"48","author":"Thomas"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/en12183574"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1021\/acs.est.1c06231"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/en15145308"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3386\/w34600"},{"key":"ref24","first-page":"9167","article-title":"Doubly robust off-policy evaluation with shrinkage","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","volume":"119","author":"Su"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jebo.2025.107048"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3307772.3328313"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11716631.pdf?arnumber=11716631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T19:09:39Z","timestamp":1791486579000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11716631\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3739019","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}