Training autoencoders for state estimation in smart grids
Since its massive deploy in power systems' control centres, the state estimator is regarded as a tool of critical importance due to its capability of determining a system operating point with remarkable precision. Indeed, one of the essential stages to obtain that operating point is identifying...
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| Formato: | masterThesis |
| Idioma: | eng |
| Publicado em: |
2017
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| Texto completo: | https://hdl.handle.net/10216/106291 |
| País: | Portugal |
| Oai: | oai:repositorio-aberto.up.pt:10216/106291 |