Development of neural network prediction models for the energy producibility of a parabolic dish: a comparison with the analytical approach

HIGHLIGHTS

• who: Valerio Lo Brano et al. from the Department of Engineering, University of Palermo, Palermo, Italy have published the Article: Development of Neural Network Prediction Models for the Energy Producibility of a Parabolic Dish: A Comparison with the Analytical Approach, in the Journal: Energies 2022, 15, x FOR PEER REVIEW of /2022/
• what: This study focuses on the development of a neural network prediction model aimed at assessing the energy producibility of dish-Stirling systems testing the methodology and offering a useful tool to support the design and sizing phases of the system at different . . .
  

   

  

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