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A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting

Research article (Energy, 2023) · cited 54× · AI/ML
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A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting

Summary

A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting is a scholarly article[1].

Key Facts

  • A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-privacy-preserving-framework-integrating-federated-learning-and-transfer-learning-for-wind-power-forecasting
MLA “A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-privacy-preserving-framework-integrating-federated-learning-and-transfer-learning-for-wind-power-forecasting.
BibTeX @misc{4ortxyz_a-privacy-preserving-framework-integrating-federated-learning-and-transfer-learning-for-wind-power-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/a-privacy-preserving-framework-integrating-federated-learning-and-transfer-learning-for-wind-power-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A privacy-preserving framework integrating federated learning and transfer learning for wind power forecasting — https://4ort.xyz/entity/a-privacy-preserving-framework-integrating-federated-learning-and-transfer-learning-for-wind-power-forecasting (retrieved 2026-05-24)

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