Wind speed forecasting using the stationary wavelet transform and quaternion adaptive-gradient methods

HIGHLIGHTS

• who: . and collaborators from the Khalifa University, Abu Dhabi, UAE King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia have published the paper: Wind speed forecasting using the stationary wavelet transform and quaternion adaptive-gradient methods, in the Journal: (JOURNAL) of May/15,/2019
• what: The authors propose a novel wind-speed forecasting model that combines the stationary wavelet transform with quaternion-valued neural networks. The main reason for integrating forecasting models is that a single forecasting method often has some essential weaknesses that lead to poor prediction results that do not adapt to . . .
  

   

  

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