Stephen Rose is a Research Scientist at the University of Minnesota's Humphrey School of Public Affairs in the Science, Technology, and Environmental Policy (STEP) area. His research on long-term planning in the electric power system examines how modeling and simulation tools, planning processes, and public policies are co-evolving to incorporate high penetrations of renewable resources. He combines quantitative modeling of the electric power system with qualitative investigations of how planners construct and use those models.
Stephen’s current research encompasses several related topics. First, he studies why and how planners use simplified representations of renewable resources in their planning models. Second, he studies how those simplifications affect the model outputs and how they compare to the effects of other model uncertainties, such as forecasted future electricity demand. Third, he studies how stakeholders, such as environmental advocates and consumer advocates, participate in a long-term planning process that is heavily based on complex and often proprietary computer models.
Prior to joining the Humphrey School, Stephen was a postdoctoral fellow in the Tepper School of Business at Carnegie Mellon University. He received his Ph.D. in Engineering & Public Policy from Carnegie Mellon 2013, an MS in Mechanical Engineering from the Georgia Institute of Technology and a BS in Mechanical Engineering from U.C. Berkeley. He also worked as an engineer for General Electric, designing control systems for the GE 1.5/1.6 MW wind turbine.