Deep learning for modeling an offshore hybrid wind-wave energy system

HIGHLIGHTS

• who: Mahsa Dehghan Manshadi et al. from the Department of Mechanical Engineering, KNToosi of Technology, Tehran, Iran have published the article: Deep Learning for Modeling an Offshore Hybrid Wind-Wave Energy System, in the Journal: Energies 2022, 15, x FOR PEER REVIEW of 30/09/2022
• what: This study proposes a novel concept for a hybrid wind-wave energy converter, where the Searaser is considered for the WEC sub-system integrated with a novel vortex bladeless turbine. The aim is to utilize different ML methods to accurately predict desired parameters by the most common RES . . .
  

   

  

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