Electric-gas infrastructure planning for deep decarbonization of energy systems R Khorramfar, D Mallapragada, S Amin Applied Energy 354, 122176, 2024 | 3 | 2024 |
Learning spatio-temporal aggregations for large-scale capacity expansion problems A Brenner, R Khorramfar, S Amin Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical …, 2023 | 3 | 2023 |
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints A Brenner, R Khorramfar, D Mallapragada, S Amin AAAI 2022 Fall Symposium: The Role of AI in Responding to Climate Challenges, 2022 | 2 | 2022 |
Managing product transitions: A bilevel programming approach R Khorramfar, OY Özaltın, KG Kempf, R Uzsoy INFORMS Journal on Computing 34 (5), 2828-2844, 2022 | 2 | 2022 |
Cost-effective Planning of Decarbonized Power-Gas Infrastructure to Meet the Challenges of Heating Electrification R Khorramfar, M Santoni-Colvin, S Amin, LK Norford, A Botterud, ... arXiv preprint arXiv:2308.16814, 2023 | 1 | 2023 |
Coordinating Resource Allocation during Product Transitions Using a Multifollower Bilevel Programming Model R Khorramfar, O Ozaltin, R Uzsoy, K Kempf arXiv preprint arXiv:2401.17402, 2024 | | 2024 |
Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach A Brenner, R Khorramfar, D Mallapragada, S Amin arXiv preprint arXiv:2401.10451, 2024 | | 2024 |
Decarbonized Future Power-Gas Systems under Large-Scale Electrification of Building Heating R Khorramfar, M Santoni-Colvin, D Mallapragada, S Amin, LK Norford, ... AGU Fall Meeting Abstracts 2022, GC42Q-0922, 2022 | | 2022 |
Computational Optimization for Hierarchical Decision Making Problems R Khorramfar North Carolina State University, 2021 | | 2021 |