Design and evaluation of low voltage neural network-based state estimators in scenarios with minimal measurement infrastructure
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to s...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/404521 |
| Acceso en línea: | https://hdl.handle.net/2117/404521 https://dx.doi.org/10.1109/ACCESS.2024.3366337 |
| Access Level: | acceso abierto |
| Palabra clave: | Electric networks Distribution networks Grid monitoring Neural networks Observability State estimation Xarxes elèctriques Àrees temàtiques de la UPC::Energies |
| Sumario: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
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