Published or Accepted
Khorramfar, R., Mallapragada, D., Amin, S. Power-Gas Infrastructure Planning under Weather-induced Supply and Demand Uncertainties. EJOR 2025 [arXiv]
Brenner, A., Khorramfar, R., Amin, S. A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization. ICLR 2025 [link]
Khorramfar, R., Santoni-Colvin, M., Amin, S., Norford, L.K., Botterud, A. and Mallapragada, D., 2025. Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification. Cell Reports Sustainability [link]
Qiu, L., Khorramfar, R., Amin, S., Howland, M. Decarbonized Energy System Planning with High-Resolution Spatial Representation of Renewables Lowers Cost. Cell Reports Sustainability [link]
Khorramfar, R., Mallapragada, D., & Amin, S. (2024). Electric-gas infrastructure planning for deep decarbonization of energy systems. Applied Energy, 354, 122176. [link] [Preprint]
Khorramfar, R., Özaltın, O.Y., Kempf, K.G. and Uzsoy, R., 2022. Managing Product Transitions: A Bilevel Programming Approach. INFORMS Journal on Computing, 34(5), pp.2828-2844. [link]
Brenner, A., Khorramfar, R. and Amin, S., 2023, May. Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems. In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023) (pp. 68-77). [link]
Brenner, A., Khorramfar, R., Mallapragada, D. and Amin, S., 2022. Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints. AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges. [link]
Lado, E.N., Khorramfar, R., Amin, S. Locational Marginal Value of Storage Under Risk of Supply-Side Disruption. 2025 American Control Conference. [link]
Submitted/Draft
Brenner, A., Khorramfar, R., Lado, E.N, Roald, L., and Amin, S. Bilevel Analysis of Cost and Emissions Externalities from Data Center Load Shifting. [arXiv]
Qiu, L., Khorramfar, R., Amin, S., Howland, M. Climate change reshapes optimal renewable energy siting by concurrently altering wind, solar, and electricity demand.
Brenner, A., Khorramfar, R., Mallapragada, D. and Amin, S. Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach. [arXiv]
Khorramfar, R., Özaltın, O.Y., Uzsoy, R. and Kempf, K.G., Coordinating Resource Allocation during Product Transitions Using a Multifollower Bilevel Programming Model. [arXiv]