This class will explore computational models for planning and operating power systems, with an emphasis on applications to real-world contexts and emerging technologies. These models are frequently used for real-world decisions and in research. The class will discuss the models’ motivations, formulations, data needs, and applications. The class will also discuss supplemental analytical techniques, e.g. sensitivity and scenario analysis, that can be coupled with power system models to generate actionable insights

Prerequisites include EAS615, including concurrent enrollment. Other required skillsets include background in a programming language, as this course will primarily explore computational models in Python for power system planning and operations.

*Offered Winter B*