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Deep Federated Adaptation: An Adaptative Residential Load Forecasting Approach with Federated Learning
Residential-level short-term load forecasting (STLF) is significant for power system operation. Data-driven forecasting models, especially machine-learning-based models, are sensitive to the amount of data. However, privacy and security concerns raised by supervision departments and users limit the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104819/ https://www.ncbi.nlm.nih.gov/pubmed/35590953 http://dx.doi.org/10.3390/s22093264 |