A Hybrid Generative Adversarial Network Model for Ultra Short-Term Wind Speed Prediction

HIGHLIGHTS

• who: Qingyuan Wang et al. from the The School of Information Engineering, Nanchang University, Nanchang, China have published the research: A Hybrid Generative Adversarial Network Model for Ultra Short-Term Wind Speed Prediction, in the Journal: Sustainability 2022, 14, 9021. of 22/09/2019
• what: Considering the above issues, the authors propose a hybrid model combining data preprocessing techniques and optimization algorithms for ultra-short-term wind speed prediction. The authors design the hybrid generative adversarial network (HGANN) as the prediction master network for the proposed hybrid model. The model showed competitive prediction performance for . . .
  

   

  

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