Physics informed machine learning for wind speed prediction

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 01, 2023
Source ID
10.1016/j.energy.2023.126628

Entities

People

  • Agnese Seminara
  • Alessandro Verri
  • Andrea Mazzino
  • Daniele Lagomarsino Oneto
  • Giacomo Meanti
  • Lorenzo Rosasco
  • Nicolò Pagliana

Organizations

  • Air Force Office of Scientific Research
  • European Commission
  • European Research Council
  • National Institutes of Health
  • National Science Foundation

Tags

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks