{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:14:07Z","timestamp":1740100447829,"version":"3.37.3"},"reference-count":46,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T00:00:00Z","timestamp":1634515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T00:00:00Z","timestamp":1634515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100006360","name":"German Federal Ministry for Economic Affairs and Energy","doi-asserted-by":"publisher","award":["FKZ 03EI6044A"],"award-info":[{"award-number":["FKZ 03EI6044A"]}],"id":[{"id":"10.13039\/501100006360","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,18]]},"DOI":"10.1109\/isgteurope52324.2021.9639919","type":"proceedings-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T21:09:40Z","timestamp":1640120980000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Towards a Universally Applicable Neural State Estimation through Transfer Learning"],"prefix":"10.1109","author":[{"given":"Stephan","family":"Balduin","sequence":"first","affiliation":[{"name":"OFFIS Power Systems Intelligence,Oldenburg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric MSP","family":"Veith","sequence":"additional","affiliation":[{"name":"OFFIS Power Systems Intelligence,Oldenburg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Berezin","sequence":"additional","affiliation":[{"name":"OFFIS Power Systems Intelligence,Oldenburg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastian","family":"Lehnhoff","sequence":"additional","affiliation":[{"name":"OFFIS Power Systems Intelligence,Oldenburg,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Oberlieben","sequence":"additional","affiliation":[{"name":"TU Dortmund ie3,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"Kittl","sequence":"additional","affiliation":[{"name":"TU Dortmund ie3,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johannes","family":"Hiry","sequence":"additional","affiliation":[{"name":"TU Dortmund ie3,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Rehtanz","sequence":"additional","affiliation":[{"name":"TU Dortmund ie3,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Giancarlo","family":"Torres-Villarreal","sequence":"additional","affiliation":[{"name":"PSI Software Research &#x0026; Development,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sasiphong","family":"Leksawat","sequence":"additional","affiliation":[{"name":"PSI Software Research &#x0026; Development,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Kubis","sequence":"additional","affiliation":[{"name":"PSI Software Research &#x0026; Development,Dortmund,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc-Aurel","family":"Frankenbach","sequence":"additional","affiliation":[{"name":"Netze BW Technology &#x0026; Innovation,Stuttgart,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.05.031"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/SIBGRAPI-T.2019.00010"},{"key":"ref33","article-title":"The influence of pattern similarity and transfer learning upon training of a base perceptron B2","author":"bozinovski","year":"1976","journal-title":"Proceedings of Symposium Informatica"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/en11020408"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.03.001"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.28945\/4184"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_27"},{"key":"ref36","volume":"3","author":"weiss","year":"2016","journal-title":"A Survey on Transfer Learning"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.31449\/inf.v44i3.2828"},{"key":"ref10","first-page":"292","article-title":"Error modeling in distribution network state estimation using rbf-based artificial neural network","volume":"16","author":"marzouni","year":"2020","journal-title":"Iranian Journal of Electrical and Electronic Engineering"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2015.06.034"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2020.2988352"},{"key":"ref12","article-title":"Physics-informed neural networks for non-linear system identification applied to power system dynamics","author":"stiasny","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAS.1967.291823"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PES.2010.5590226"},{"key":"ref15","first-page":"861","author":"ramesh","year":"2007","journal-title":"Distributed State Estimation Technique for Active Distribution Networks"},{"key":"ref16","first-page":"4069","article-title":"Real-time power system state estimation and forecasting via deep neural networks","volume":"67","author":"zhang","year":"2018","journal-title":"ArXiv"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2011.2118771"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.enpol.2017.12.041"},{"key":"ref19","first-page":"4910","article-title":"Bayesian state estimation for unobservable distribution systems via deep learning","volume":"34","author":"mestav","year":"2018","journal-title":"ArXiv"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.9781\/ijimai.2018.01.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s42162-020-00127-3"},{"journal-title":"A comprehensive approach to implement monitoring and state estimation in distribution grids with a low number of measurements","year":"2020","author":"menke","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/APPEEC.2015.7381069"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2019.2909150"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.4304\/jcp.7.3.685-691"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/PESGM.2018.8586649"},{"key":"ref8","first-page":"1670","article-title":"A dynamic state estimator for tracking the state of a power system&#x2019;, ibid., 1970","author":"debs","year":"0","journal-title":"PAS-89"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2926023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/0142-0615(90)90003-T"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/PEOCO.2014.6814454"},{"key":"ref1","article-title":"Beobachtbarkeit und steuerbarkeit in energiesystemen - eine handlungsanalyse der dena-plattform systemdienstleistungen","author":"seidl","year":"2016","journal-title":"Deutsche Energie-Agentur GmbH"},{"key":"ref46","article-title":"Automated time series based grid extensions planning using a coupled agent based simulation and genetic algorithm approach","author":"hiry","year":"2019","journal-title":"International Conference on Electricity Distribution (CIRED)"},{"journal-title":"Introduction to Simulink with Engineering Applications","year":"2006","author":"karris","key":"ref20"},{"key":"ref45","article-title":"Large scale agent based simulation of distribution grid loading and its practical application","author":"kittl","year":"2019","journal-title":"International Conference on Electricity Distribution (CIRED)"},{"key":"ref22","first-page":"4347","article-title":"Physics-aware neural networks for distribution system state estimation","volume":"35","author":"zamzam","year":"2019","journal-title":"ArXiv"},{"journal-title":"Verfahren zur Zustandssch&#x00E4;tzung und ihr Beitrag zum Engpassmanagement in Mittelspannungsnetzen","year":"2020","author":"br\u00fcggemann","key":"ref21"},{"journal-title":"ASME Journal of verification validation and uncertainty quantification","article-title":"T. A. S. of Mechanical Engineers","year":"0","key":"ref24"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2016.01.030"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2017.2760011"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2018.01.034"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2019.2938068"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/en11010213"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2006.03.037"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2888581"}],"event":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","start":{"date-parts":[[2021,10,18]]},"location":"Espoo, Finland","end":{"date-parts":[[2021,10,21]]}},"container-title":["2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9639895\/9639896\/09639919.pdf?arnumber=9639919","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,3]],"date-time":"2022-08-03T00:09:14Z","timestamp":1659485354000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9639919\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,18]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/isgteurope52324.2021.9639919","relation":{},"subject":[],"published":{"date-parts":[[2021,10,18]]}}}