 This paper proposes a new framework for leveraging artificial intelligence, AI, and energy systems. It evaluates the feasibility of integrating AI and machine learning, ML, techniques into the energy landscape, identifies the most promising AI and ML techniques for energy systems, and provides actionable insights for performance enhancement. Additionally, it covers the domains where AI can augment contemporary and future energy systems. Furthermore, it employs a flexible and multi-criteria methodology to rank energy systems based on their AI integration prospects. Finally, the research delineates AI integration processes and technique categorizations for energy systems.