Dr. Schell’s research lies at the interface of engineering, operations research and economics, leveraging these domains to analyze the complex questions facing the transition to an electric power system dominated by renewable energy sources.
Her doctoral degrees are from the Engineering and Public Policy programs at Carnegie Mellon University and the Faculty of Engineering of the University of Porto, Portugal. She was a Visiting Researcher with Professor Pierre Pinson’s Energy Analytics and Markets Group at the Technical University of Denmark (DTU) in 2016 and 2017. She holds a Masters of Science in Environmental Engineering from Johns Hopkins University, and a Bachelor of Science degree in Chemical Engineering from Carnegie Mellon University, with an additional major in Engineering and Public Policy.

Contact Information: 

Phone: 518-276-6622

Email: schelk@rpi.edu

Web: www.kristenschell.com

Focus Area: 

large scale optimization, applied statistics and machine learning, power system modeling, renewable energy forecasting, electricity markets, energy policy, decision theory, risk analysis

Selected Publications: 

• Barbry, A., M. F. Anjos, E. Delage and K.R. Schell. Robust self-scheduling of a price-maker energy storage facility in the New York electricity market. Energy Economics. November 2018.
• Loureiro, M.V., K.R. Schell, J. Claro, P. Fischbeck. Renewable integration through transmission network expansion under uncertainty. International Journal of Electrical Power and Energy Systems. December 2018.
• Schell, K.R., J. Claro, S.D. Guikema. Probabilistic Cost Prediction of Subsea Power Cable Projects. International Journal of Electrical Power and Energy Systems. Feb. 2017.
doi: 10.1016/j.ijepes.2017.01.017
• Schell, K.R., P. Fischbeck, J. Claro. Geographic Attribution of an Electricity System Renewable Energy Target: Local Economic, Environmental and Social Tradeoffs. Renewable and Sustainable Energy Reviews. Oct. 2015. doi: 10.1016/j.rser.2015.05.051