Kristen Schell

Dr. Schell’s research areas include: wind power modelling and forecasting, power systems planning for negative emissions, strategic behaviour in electricity markets, renewable energy policy design, and design for adoption of adaptable, modular microgrids. Her current focus is on boosting the share of electric power generated through renewable energy sources like wind power and overcoming the problems that the integration of these sources pose to system resource adequacy, reliability and resilience. Her models are informed by large, empirical datasets from wind power producers, electric utilities, independent system operators, numerical weather prediction models, and earth systems models. She works to develop novel machine learning and optimization methods that support decision-making for the energy transition, from the community to the federal level. Previously, Dr. Schell was an Assistant Professor in Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in Troy, NY, where she was part of a team awarded a US Department of Energy (DOE) ARPA-E grant. Prior to RPI, Dr. Schell was an IVADO Post-doctoral Fellow at Polytechnique Montreal and a postdoctoral researcher at the University of Michigan.