{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T17:08:31Z","timestamp":1792861711234,"version":"4.5.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF ECCS 2210012"],"award-info":[{"award-number":["NSF ECCS 2210012"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000015","name":"Director, Cybersecurity, Energy Security, and Emergency Response, Cybersecurity for Energy Delivery Systems Program, of the U.S. Department of Energy","doi-asserted-by":"publisher","award":["DE-AC02-05CH11231"],"award-info":[{"award-number":["DE-AC02-05CH11231"]}],"id":[{"id":"10.13039\/100000015","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1109\/tsg.2023.3239740","type":"journal-article","created":{"date-parts":[[2023,1,25]],"date-time":"2023-01-25T13:38:57Z","timestamp":1674653937000},"page":"4086-4099","source":"Crossref","is-referenced-by-count":53,"title":["Spatio-Temporal Graph Convolutional Neural Networks for Physics-Aware Grid Learning Algorithms"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7474-6943","authenticated-orcid":false,"given":"Tong","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Cornell Tech, Cornell University, New York City, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ignacio Losada","family":"Carre\u00f1o","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Cornell Tech, Cornell University, New York City, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Scaglione","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Cornell Tech, Cornell University, New York City, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8897-1132","authenticated-orcid":false,"given":"Daniel","family":"Arnold","sequence":"additional","affiliation":[{"name":"Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/PMAPS53380.2022.9810559"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3055400"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2926023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2009.2030297"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2805169"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/NAPS52732.2021.9654642"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/DSW.2019.8755588"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2238935"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3052998"},{"key":"ref11","author":"abadi","year":"2015","journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems"},{"key":"ref33","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"Proc NIPS"},{"key":"ref10","first-page":"721","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2018.2820126"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3014813"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/Allerton49937.2022.9929321"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3010130"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2051168"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2009.2030297"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2546233"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2948132"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2004.831259"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.3000652"},{"key":"ref23","first-page":"1","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018","journal-title":"Proc ICML"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3041620"},{"key":"ref25","article-title":"Deep reinforcement learning and the deadly triad","author":"van hasselt","year":"2018","journal-title":"arXiv 1812 02648"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2951769"},{"key":"ref42","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"Proc ICLR"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2890613"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.2990179"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2941134"},{"key":"ref43","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017","journal-title":"arXiv 1707 06347"},{"key":"ref28","article-title":"A graph policy network approach for volt-VAR control in power distribution systems","author":"lee","year":"2021","journal-title":"arXiv 2109 12073"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2021.3102870"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2021.3058996"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2020.3025259"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.2988352"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/9781118639283"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3075145"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3014591"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2951964"},{"key":"ref5","first-page":"5023","article-title":"Emphatic algorithms for deep reinforcement learning","author":"jiang","year":"2021","journal-title":"Proc ICML"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2022.3176298"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/5165411\/10226523\/10025850-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/10226523\/10025850.pdf?arnumber=10025850","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T14:11:56Z","timestamp":1694441516000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10025850\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":43,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2023.3239740","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9]]}}}