Google Scholar

Katelyn Stenger joined the National Laboratory of the Rockies (NLR) in 2022. Her research focuses on integrating behavioral science with building energy system modeling to better represent real-world decision-making within technical simulation frameworks.

She works across disciplines to incorporate survey data, advanced statistical and machine learning methods, and building stock models into unified analytical approaches. Her work improves prediction, scenario analysis, and program evaluation by embedding empirically grounded behavioral dynamics into large-scale energy models.

Human decision-making in energy systems

Technology adoption modeling

Machine learning and statistical methods