Photovoltaic power prediction using artificial neural networks and numerical weather data

HIGHLIGHTS

• who: Javier López Gómez et al. from the GTE Research Group, School of Industrial Engineering, University of Vigo, Campus Lagoas-Marcosende have published the research: Photovoltaic Power Prediction Using Artificial Neural Networks and Numerical Weather Data, in the Journal: Sustainability 2020, 12, 10295 of /2020/
• what: The novelty and main objective of this study is to evaluate the performance of the GDAS sflux model as a replacement for in situ weather measurements with the aim of predicting photovoltaic power generation. The aim of this study is related to the prediction of PV power . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.