A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting
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DOI: 10.1016/j.energy.2023.129639
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- Li, Jianfang & Jia, Li & Zhou, Chengyu, 2024. "Probability density function based adaptive ensemble learning with global convergence for wind power prediction," Energy, Elsevier, vol. 312(C).
- Liu, Linbin & Li, June & Wang, Juan, 2025. "CFL-ICCV: Clustered federated learning framework with an intra-cluster cross-validation mechanism for DER forecasting," Applied Energy, Elsevier, vol. 377(PD).
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Keywords
Privacy-preserving; Federated learning; Personalized transfer learning; Fine-tuning;All these keywords.
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