Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints. - Aron Brenner; Rahman Khorramfar; Dharik Mallapragada; Saurabh Amin (CoRR, 2022)

Electric-Gas Infrastructure Planning for Deep Decarbonization of Energy Systems. - Rahman Khorramfar; Dharik Mallapragada; Saurabh Amin (CoRR, 2022)

Managing Product Transitions: A Bilevel Programming Approach. - Rahman Khorramfar; Osman Y. Özaltin; Karl G. Kempf; Reha Uzsoy (INFORMS J. Comput., 2022)

Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems. - Aron Brenner; Rahman Khorramfar; Saurabh Amin (ICCPS, 2023)

Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification. - Rahman Khorramfar; Morgan Santoni-Colvin; Saurabh Amin; Leslie K. Norford; Audun Botterud; Dharik Mallapragada (CoRR, 2023)

Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach. - Aron Brenner; Rahman Khorramfar; Dharik Mallapragada; Saurabh Amin (CoRR, 2024)

A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization. - Aron Brenner; Rahman Khorramfar; Jennifer Z. Sun; Saurabh Amin (ICLR, 2025)

Power-Gas Infrastructure Planning under Weather-induced Supply and Demand Uncertainties. - Rahman Khorramfar; Dharik Mallapragada; Saurabh Amin (CoRR, 2025)