Comparison of Neural Networks for High-Sampling Rate NILM Scenario
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 22-24 June 2022, Messina, Italy.
| Autores: | , , , |
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| Tipo de recurso: | libro |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Alcalá (UAH) |
| Repositorio: | e_Buah Biblioteca Digital Universidad de Alcalá |
| Idioma: | inglés |
| OAI Identifier: | oai:ebuah.uah.es:10017/57895 |
| Acceso en línea: | http://hdl.handle.net/10017/57895 https://dx.doi.org/10.1109/MeMeA54994.2022.9856406 |
| Access Level: | acceso abierto |
| Palabra clave: | Ambient Intelligence for Independent Living (AIIL) Non-Intrusive Load Monitoring (NILM) Recurrent Neural Networks (RNN) Convolutional Neural Networks (CNN) Electrónica Electronics |
| Sumario: | 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 22-24 June 2022, Messina, Italy. |
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