CHEME 6830
AI for Energy Systems
This course focuses on the application of artificial intelligence (AI) to energy systems over four weeks. Students will explore how AI techniques can optimize the performance of energy and power systems, with a particular focus on sustainable energy systems and renewable energy transition. Key topics include the optimization of energy generation, distribution, storage, and consumption. Specific case studies will cover topics such as optimizing solar and wind energy integration into the grid, improving battery storage management for renewable energy, and enhancing energy efficiency in smart grids. The course will also highlight AI applications in balancing supply and demand for renewable energy systems.
Topics
- Understand the role of AI in energy and power systems.
- Apply AI techniques to optimize the efficiency and sustainability of energy generation, distribution, and consumption, with a focus on renewables like solar, wind, biomass, and geothermal.
- Analyze case studies of AI-driven innovations such as optimizing renewable energy integration, improving battery storage, and managing smart grids.
- Identify challenges and emerging trends in the use of AI for renewable energy systems and energy transition.
Official roster learning outcomes
Sources
- Course catalogue ↗2026-2027