{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T16:26:05Z","timestamp":1783182365879,"version":"3.54.6"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T00:00:00Z","timestamp":1725148800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2023ZYGXZR105"],"award-info":[{"award-number":["2023ZYGXZR105"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1109\/tsg.2024.3399705","type":"journal-article","created":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T17:32:02Z","timestamp":1715621522000},"page":"4576-4588","source":"Crossref","is-referenced-by-count":36,"title":["Two-Step Diffusion Policy Deep Reinforcement Learning Method for Low-Carbon Multi-Energy Microgrid Energy Management"],"prefix":"10.1109","volume":"15","author":[{"given":"Yiwen","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Mei","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqian","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-1182-4302","authenticated-orcid":false,"given":"Huaiguang","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Future Technology, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Automation, Wuhan University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4034-2932","authenticated-orcid":false,"given":"Wenzhong","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Denver, Denver, CO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.05.057"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3154718"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2017.07.035"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2015.2405935"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.10.113"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2606442"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2810247"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.17775\/CSEEJPES.2020.04380"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3147370"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.2.18893.74727"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3098298"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2924025"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1004287"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3198401"},{"key":"ref15","first-page":"1","article-title":"Policy gradient methods for reinforcement learning with function approximation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"12","author":"Sutton"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2012.2218595"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2022.3212938"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2022.125187"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2022.120633"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1016\/j.apenergy.2023.122258","article-title":"A data-driven DRL-based home energy management system optimization framework considering uncertain household parameters","volume":"355","author":"Ren","year":"2024","journal-title":"Appl. Energy"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3235110"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3183802"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2022.118636"},{"key":"ref25","first-page":"1587","article-title":"Addressing function approximation error in actor-critic methods","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"80","author":"Fujimoto"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3179567"},{"key":"ref27","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11631"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.113755"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2020.104872"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2020.111681"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2021.118403"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2022.108558"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2022.118664"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/en15072435"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2023.3243170"},{"key":"ref37","article-title":"Diffusion policies as an expressive policy class for offline reinforcement learning","author":"Wang","year":"2022","journal-title":"arXiv:2208.06193"},{"key":"ref38","volume-title":"What are diffusion models?","author":"Weng","year":"2021"},{"key":"ref39","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1080\/14786451.2015.1100196"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-00712-x"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.2976771"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2854744"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/61.25627"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2760011"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2829021"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/10643567\/10529228.pdf?arnumber=10529228","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,1]],"date-time":"2024-09-01T04:08:59Z","timestamp":1725163739000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10529228\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9]]},"references-count":46,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2024.3399705","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9]]}}}