Wind power forecasting using optimized dendritic neural model based on seagull optimization algorithm and aquila optimizer

HIGHLIGHTS

• who: Mohammed A. A. Al-qaness and colleagues from the College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, China have published the research work: Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer, in the Journal: Energies 2022, 15, 9261. of /2022/
• what: In this study, a new combined method, called the SOAAO optimization technique, is developed by combining the proprieties of the traditional SOA and AO.
• how: The authors compared the performance of the new optimized model to the traditional dendritic neuron . . .
  

   

  

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