Reconstructing missing data in state estimation with autoencoders
This paper presents the proof of concept for a new solution to the problem of recomposing missing information at the SCADA of energy/distribution management systems (EMS/DMS), through the use of offline trained autoencoders. These are neural networks with a special architecture, which allows them to...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2012
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| Assuntos: | |
| Texto completo: | https://hdl.handle.net/10216/96487 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/96487 |