FTLNet: federated deep learning model for multi-horizon wind power forecasting
Abstract In the competitive market of wind power forecasting, ensuring data security while enhancing forecasting accuracy is crucial. Federated learning emerges as a key solution to these challenges, offering a way to preserve data privacy and security across multiple entities. This paper presents a...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
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| Series: | Discover Internet of Things |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43926-025-00112-w |
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