乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:34:30Z","timestamp":1740159270946,"version":"3.37.3"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52177104"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018542","name":"National Natural Science Foundation of Sichuan Province","doi-asserted-by":"publisher","award":["2022NSFSC1911"],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["Q1 YJ201911"],"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":[[2024,3]]},"DOI":"10.1109\/tsg.2023.3301855","type":"journal-article","created":{"date-parts":[[2023,8,4]],"date-time":"2023-08-04T17:24:28Z","timestamp":1691169868000},"page":"1410-1422","source":"Crossref","is-referenced-by-count":6,"title":["An Improved Neural Lyapunov Method for Transient Stability Assessment of Networked Microgrids"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5168-3978","authenticated-orcid":false,"given":"Yunfei","family":"Liu","sequence":"first","affiliation":[{"name":"College of Electrical Engineering, Sichuan University, Chengdu, China"}]},{"given":"Junran","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4881-8429","authenticated-orcid":false,"given":"Yan","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Sichuan University, Chengdu, China"}]},{"given":"Mengling","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Sichuan University, Chengdu, China"}]},{"given":"Song","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Sichuan University, Chengdu, China"}]},{"given":"Lijun","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8333-0843","authenticated-orcid":false,"given":"Yang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Sichuan University, Chengdu, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2531745"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.01.064"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JESTPE.2021.3057639"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCT.1964.1082227"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPEL.2011.2170202"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3117889"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2925703"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2016.2592508"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2021.3138107"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-1635-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/31.41298"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2021.3089025"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2866122"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM41954.2020.9281628"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2007.908476"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2013.2266617"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2957377"},{"key":"ref18","first-page":"466","article-title":"The Lyapunov neural network: Adaptive stability certification for safe learning of dynamical systems","volume-title":"Proc. Conf. Robot Learn. PMLR","author":"Richards"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2020.3005328"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.24251\/HICSS.2021.405"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2021.3102857"},{"key":"ref22","first-page":"146","article-title":"Input convex neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. PMLR","author":"Amos"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31365-3_23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/72.712178"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2652387"},{"key":"ref26","first-page":"1","article-title":"Neural Lyapunov control","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Chang"},{"key":"ref27","first-page":"1369","article-title":"Estimating car insurance premia: A case study in high-dimensional data inference","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"14","author":"Chapados"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38574-2_14"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref31","first-page":"1","article-title":"Learning stable deep dynamics models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Kolter"},{"volume-title":"Linear Optimal Control Systems","year":"1972","author":"Kwakernaak","key":"ref32"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2003.811207"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2760011"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/10440375\/10208158.pdf?arnumber=10208158","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T17:56:28Z","timestamp":1709315788000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10208158\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":34,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2023.3301855","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"type":"print","value":"1949-3053"},{"type":"electronic","value":"1949-3061"}],"subject":[],"published":{"date-parts":[[2024,3]]}}}