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Enhancing anomaly detection in distributed power systems using autoencoder-based federated learning
The growing use of Internet-of-Things devices in electric power systems has resulted in increased complexity and flexibility, making monitoring power usage critical for effective system maintenance and detecting abnormal behavior. However, traditional anomalous power consumption detection methods st...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437833/ https://www.ncbi.nlm.nih.gov/pubmed/37594957 http://dx.doi.org/10.1371/journal.pone.0290337 |