Jordan Kern

Assistant Professor

Since starting at NC State, Jordan Kern’s group has been funded by the U.S. Department of Energy, the National Science Foundation, the Alfred P. Sloan Foundation, the Bezos Earth Fund, and the State of North Carolina. In 2022, he was awarded the NSF CAREER award. 

Kern has served as an expert witness for the U.S. House of Representatives Committee on Energy and Commerce, Subcommittee on Energy, Climate, and Grid Security, and served as an expert on a White House Office of Science and Technology Policy panel concerning the potential role of artificial intelligence in managing energy systems. His group’s research has been featured in national media (NPR, LA Times, TIME, Vox, the Hill, Wired, and the Guardian).

Research Interests

Kern’s research tries to advance optimal design and management of energy systems, with a special focus on: 1) building high-fidelity models of bulk electric power systems; 2) simulating system dynamics under uncertainty and stress (e.g., extreme weather and/or physical attack); and 3) informing optimal decision making around capital investment and short-term operations to meet cost and reliability objectives. Much of Kern’s work is aimed at supporting real-world decision-making, and his group frequently interacts and collaborates with stakeholders (e.g., electric power utilities).

Education

DegreeProgramSchoolYear
Ph.D.Doctor of Philosophy in Environmental Sciences and EngineeringUNC-Chapel Hill2014
MSESEMaster of Science in Environmental Sciences and EngineeringUNC-Chapel Hill2010
BSESBachelor of Science in Environmental SciencesUNC-Chapel Hill2007

Discover more about Jordan Kern

Publications

Capturing Dynamic Hydropower Performance in Long-Term Energy Planning
Yildiz, V., Akdemir, E., Karadi, S., Kern, J., Voisin, N., & Zaniolo, M. (2026, March 14). , (Vol. 3). Vol. 3. https://doi.org/10.5194/egusphere-egu26-13802
Electricity Demand Prediction for the DUK Balancing Authority
Pham, D.-H., & Kern, J. (2026), Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.19198894
Electricity Demand Prediction for the DUK Balancing Authority
Pham, D.-H., & Kern, J. (2026), Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.19198893
How Hydropower Operations Mitigate Flow Forecast Uncertainties to Maintain Grid Services in the Western U.S.
Broman, D., Voisin, N., Steinschneider, S., Kern, J., Ssembatya, H., & Wi, S. (2026, February 1), Water Resources Research, Vol. 2. https://doi.org/10.1029/2025wr040943
The relative influences of hydrologic information and dams’ hydropower scheduling decisions on electricity price forecasts
Ssembatya, H., Kern, J. D., Voisin, N., Steinschneider, S., & Broman, D. (2026, March 12), Energy Reports, Vol. 3. https://doi.org/10.1016/j.egyr.2026.109203
A composite index-based insurance instrument for managing the financial risk of variable hydrometeorology for electric utilities
Amonkar, Y., Pahel-Short, C., Zeighami, A., Su, Y., Kern, J. D., & Characklis, G. W. (2025, July 16), Environmental Research Energy, Vol. 7. https://doi.org/10.1088/2753-3751/adf072
Comparing Alternatives for Managing Hydrometeorological Financial Risk for Hydropower Suppliers
Cuppari, R. I., Denaro, S., Su, Y., Kern, J. D., & Characklis, G. W. (2025, August 30), Journal of Water Resources Planning and Management, Vol. 151. https://doi.org/10.1061/JWRMD5.WRENG-6573
Evaluating grid stress and reliability in future electricity grids across a range of demand, generation mix, and weather trends
Akdemir, K. Z., Mongird, K., Bracken, C., Burleyson, C. D., Kern, J. D., Oikonomou, K., … Rice, J. S. (2025, October 19), Advances in Applied Energy, Vol. 10. https://doi.org/10.1016/j.adapen.2025.100249
IM3 Projected U.S. Western Interconnection Grid Stress Dataset
Akdemir, K. Z., Mongird, K., Bracken, C., Burleyson, C., Kern, J., Oikonomou, K., … Rice, J. (2025, January 1), OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), Vol. 1. https://doi.org/10.57931/2497839
Multi-objective optimization of sustainable aviation fuel production pathways in the U.S. Corn Belt
Akdemir, E. A., Kern, J., Smith, J. P., Limb, B. J., Quinn, J. C., Field, J. L., & Pack, T. (2025, January 9), Biomass and Bioenergy, Vol. 193. https://doi.org/10.1016/j.biombioe.2025.107590

View all publications via NC State Libraries

Jordan Kern