{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:04:22Z","timestamp":1740103462793,"version":"3.37.3"},"reference-count":7,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T00:00:00Z","timestamp":1729209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,18]]},"DOI":"10.1109\/dtpi61353.2024.10778757","type":"proceedings-article","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T19:06:15Z","timestamp":1734030375000},"page":"275-279","source":"Crossref","is-referenced-by-count":0,"title":["Self start stop control decision of milling system based on ICS platform"],"prefix":"10.1109","author":[{"given":"Yuzhi","family":"Huang","sequence":"first","affiliation":[{"name":"Shaanxi Yanchang Petroleum(Group) Co., Ltd.,Xi&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiachen","family":"Cai","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Thermal Power Research Institute Co., Ltd.,Xi&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Li","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Thermal Power Research Institute Co., Ltd.,Xi&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Gao","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Thermal Power Research Institute Co., Ltd.,Xi&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Chang","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Thermal Power Research Institute Co., Ltd.,Xi&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongtao","family":"Lv","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Thermal Power Research Institute Co., Ltd.,Xi&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haibin","family":"Liu","sequence":"additional","affiliation":[{"name":"Xi&#x2019;an Thermal Power Research Institute Co., Ltd.,Xi&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Ma","sequence":"additional","affiliation":[{"name":"Shaanxi Yanchang Petroleum Fuxian Power Generation Co., Ltd.,Yan&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feifei","family":"Cao","sequence":"additional","affiliation":[{"name":"Shaanxi Yanchang Petroleum Fuxian Power Generation Co., Ltd.,Yan&#x2019;an,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1016\/j.est.2022.106394"},{"issue":"1s3","key":"ref2","first-page":"172","article-title":"Load Frequency Control of Two-Area Thermal Power System with HVDC-SMES unit Under Different Inertia Strategies using PS [J]","volume":"8","author":"Kameswari","year":"2019","journal-title":"International Journal of Recent Technology and Engineering (IJRTE)"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/j.artint.2024.104100"},{"issue":"1","key":"ref4","first-page":"93","article-title":"A Deep Reinforcement Learning-Based Technique for Optimal Power Allocation in Multiple Access Communications [J]","volume":"39","author":"Sepehr","journal-title":"1 Department of Industrial Engineering, College of Engineering, University of Houston, Houston, TX, 77204, USA;2 Department of Computer Science, Iowa State University, Ames, Iowa, USA; 3 ETSI de Telecomunicaci\u00f3n, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain;4 Faculty of School of Plant and Environmental Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, 24060, USA, 2024"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/j.energy.2023.130146"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1088\/1742-6596\/2528\/1\/012071"},{"key":"ref7","first-page":"74","article-title":"Multi-agent off-policy actor-critic algorithm for distributed multi-task reinforcement learning [J]","author":"S","year":"2023","journal-title":"European Journal of Control"}],"event":{"name":"2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)","start":{"date-parts":[[2024,10,18]]},"location":"Wuhan, China","end":{"date-parts":[[2024,10,20]]}},"container-title":["2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence (DTPI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10778636\/10778638\/10778757.pdf?arnumber=10778757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,14]],"date-time":"2025-01-14T19:36:22Z","timestamp":1736883382000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10778757\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,18]]},"references-count":7,"URL":"https:\/\/doi.org\/10.1109\/dtpi61353.2024.10778757","relation":{},"subject":[],"published":{"date-parts":[[2024,10,18]]}}}