{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T16:17:23Z","timestamp":1784218643433,"version":"3.55.0"},"reference-count":33,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tii.2025.3582293","type":"journal-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T17:45:42Z","timestamp":1752515142000},"page":"8057-8067","source":"Crossref","is-referenced-by-count":18,"title":["Robust Power System State Estimation Using Physics-Informed Neural Networks"],"prefix":"10.1109","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1182-4382","authenticated-orcid":false,"given":"Solon","family":"Falas","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7553-677X","authenticated-orcid":false,"given":"Markos","family":"Asprou","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3825-3930","authenticated-orcid":false,"given":"Charalambos","family":"Konstantinou","sequence":"additional","affiliation":[{"name":"Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1943-6547","authenticated-orcid":false,"given":"Maria K.","family":"Michael","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/en13236269"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2187037"},{"key":"ref3","article-title":"Smart grid security: Threats, challenges, and solutions","author":"Sanjab","year":"2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SMARTGRID.2010.5622045"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SeFeT55524.2022.9908793"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3251899"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2495133"},{"issue":"1-29","key":"ref8","article-title":"Analysis of the cyber attack on the Ukrainian power grid","volume":"388","author":"Case","year":"2016","journal-title":"Electricity Inf. Sharing Anal. Center"},{"key":"ref9","first-page":"15","article-title":"$\\lbrace$BlackIoT $\\rbrace$:$\\lbrace$ IoT$\\rbrace$ Botnet of high wattage devices can disrupt the power grid","volume-title":"Proc. 27th USENIX Secur. Symp.","author":"Soltan","year":"2018"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2015.2512925"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2919157"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2926023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3389\/fdata.2021.669097"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2018.10.045"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3285048"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3431584"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM41954.2020.9282004"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2870600"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2894769"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2022.3162473"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISGTEUROPE56780.2023.10408467"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3361039"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3374374"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3537410"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.2988352"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.2172\/1655434","article-title":"Physics-informed deep neural network method for limited observability state estimation","author":"Ostrometzky","year":"2020"},{"key":"ref27","article-title":"Physics-informed graphical neural network for parameter & state estimations in power systems","author":"Pagnier","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JETCAS.2022.3142051"},{"key":"ref29","article-title":"Embedding power flow into machine learning for parameter and state estimation","author":"Pagnier","year":"2021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CSR61664.2024.10679380"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MIE.2019.2942376"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2013.2292138"},{"key":"ref33","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Statist. Workshop Conf.","author":"Glorot","year":"2010"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/11174041\/11079267.pdf?arnumber=11079267","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T14:26:15Z","timestamp":1759242375000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11079267\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":33,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tii.2025.3582293","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}