A novel cyber-Resilient solar power forecasting model based on secure federated deep learning and data visualization
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DOI: 10.1016/j.renene.2023.04.055
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- Tang, Yugui & Zhang, Shujing & Zhang, Zhen, 2024. "A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting," Energy, Elsevier, vol. 286(C).
- Fatma Mazen Ali Mazen & Yomna Shaker & Rania Ahmed Abul Seoud, 2023. "Forecasting of Solar Power Using GRU–Temporal Fusion Transformer Model and DILATE Loss Function," Energies, MDPI, vol. 16(24), pages 1-24, December.
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Keywords
Solar energy; Photovoltaic power forecasting; Federated deep learning; Conventional deep learning; Cyber-attack; Image processing;All these keywords.
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