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A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network

Research article (Energy, 2022) · cited 49× · AI/ML
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A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network

Summary

A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network is a scholarly article[1].

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  • A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network's instance of is recorded as scholarly article[2].

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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 novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-few-shot-learning-approach-for-wind-power-prediction-applying-secondary-evolutionary-generative-adversarial-netw
MLA “A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-few-shot-learning-approach-for-wind-power-prediction-applying-secondary-evolutionary-generative-adversarial-netw.
BibTeX @misc{4ortxyz_a-novel-few-shot-learning-approach-for-wind-power-prediction-applying-secondary-evolutionary-generative-adversarial-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel few-shot learning approach for wind power prediction applying secondary evolutionary generative adversarial network}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-few-shot-learning-approach-for-wind-power-prediction-applying-secondary-evolutionary-generative-adversarial-netw}, note = {Accessed: 2026-05-24}}
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