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Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
Load forecasting is very essential in the analysis and grid planning of power systems. For this reason, we first propose a household load forecasting method based on federated deep learning and non-intrusive load monitoring (NILM). As far as we know, this is the first research on federated learning...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455055/ https://www.ncbi.nlm.nih.gov/pubmed/36092014 http://dx.doi.org/10.7717/peerj-cs.1049 |