{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T19:15:48Z","timestamp":1768072548429,"version":"3.49.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Smart Grid"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/tsg.2022.3159579","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T19:43:32Z","timestamp":1647373412000},"page":"2679-2689","source":"Crossref","is-referenced-by-count":9,"title":["Kernel Structure Design for Data-Driven Probabilistic Load Flow Studies"],"prefix":"10.1109","volume":"13","author":[{"given":"Jingyuan","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7453-2825","authenticated-orcid":false,"given":"Pirathayini","family":"Srikantha","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Smart grid system report","year":"2018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAS.1974.293973"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2950115"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2810641"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2009.2016589"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/PES.2011.6039167"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2017.2772263"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2846203"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2016.2628959"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/5.823995"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2896219"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/59.336102"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2018.2811707"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2018.10.023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2823058"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2012.2191804"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2461159"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.2983603"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2015.2404841"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.2967173"},{"key":"ref21","first-page":"107","article-title":"The curse of highly variable functions for local kernel machines","volume-title":"Advances in Neural Information Processing Systems","volume":"18","author":"Bengio","year":"2006"},{"key":"ref22","first-page":"226","article-title":"Additive Gaussian processes","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"24","author":"Duvenaud"},{"key":"ref23","volume-title":"Distribution Automation Handbook","year":"2011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2760011"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/PSCC.2014.7038399"},{"key":"ref26","first-page":"57","article-title":"Sparse convolved Gaussian processes for multi-output regression","volume-title":"Advances in Neural Information Processing Systems (NeuralPS) 21","author":"Alvarez","year":"2009"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/EVS.2013.6914759"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2472523"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2011.2172643"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.3000577"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2939817"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/61.660951"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/VPPC.2010.5729191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2017.05.004"},{"key":"ref35","article-title":"Automatic model construction with Gaussian processes","author":"Duvenaud","year":"2014"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-007-0176-2"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1006\/game.1996.0044"},{"key":"ref38","first-page":"2651","article-title":"Universal kernels","volume":"7","author":"Micchelli","year":"2006","journal-title":"J. Mach. Learn. Res."},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44581-1_27"},{"key":"ref40","article-title":"Combining Gaussian Processes and polynomial chaos expansions for stochastic nonlinear model predictive control","author":"Bradford","year":"2021","journal-title":"arXiv:2103.05441"},{"key":"ref41","first-page":"265","article-title":"Polynomial chaos expansions and stochastic finite element methods","volume-title":"Risk and Reliability in Geotechnical Engineering","author":"Sudret","year":"2014"},{"key":"ref42","volume-title":"Reference Guide: The Open Distribution System Simulator (OpenDSS)","author":"Dugan","year":"2016"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.3031765"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/nmeth.3968"},{"key":"ref45","first-page":"1","article-title":"GPflow: A Gaussian process library using tensorflow","volume":"18","author":"Matthews","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref46","first-page":"51","volume-title":"Model Selection and MultiModel Inference","author":"Burnham","year":"2002"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM.2014.6939274"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33143-6"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957109"}],"container-title":["IEEE Transactions on Smart Grid"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5165411\/9801905\/09734745.pdf?arnumber=9734745","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:46:06Z","timestamp":1705535166000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9734745\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":49,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tsg.2022.3159579","relation":{},"ISSN":["1949-3053","1949-3061"],"issn-type":[{"value":"1949-3053","type":"print"},{"value":"1949-3061","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7]]}}}