Machine Learning for Sustainable Energy Systems

In recent years, machine learning has proven to be a powerful tool for deriving insights from data. this review, we describe ways in which been leveraged facilitate the development and operation of sustainable energy systems. We first provide taxonomy paradigms techniques, along with discussion their strengths limitations. then an overview existing research using production, delivery, storage. Finally, identify gaps literature, propose future directions, discuss important considerations deployment.