Open AccessTowards increased interpretability of AI-tools in the energy sector with focus on the wind energy trading application
Author(s) -
Konstantinos Parginos,
Simon Camal,
George Kariniotakis,
Ricardo Bessa
Publication year - 2022
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - interpretability , wind power , energy (signal processing) , focus (optics) , computer science , artificial intelligence , machine learning , engineering , electrical engineering , mathematics , statistics , physics , optics