ENSY5800 (Applications of Artificial Intelligence in Energy Systems) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.
Covers fundamentals of artificial intelligence (AI) used in engineering applications for energy systems. Introduces a brief treatment of AI methods. Examines several AI methods, including search algorithms, decision making under uncertainty, graphical methods, and machine learning. Discusses a more thorough treatment for how AI is used for engineering applications in energy systems. Application areas include power generation, electric grid, renewables, and energy storage. Focuses on practical considerations, including economic opportunity, verification and validation, risks, and nontechnical challenges.
Data updated October 2026.