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20222026
most citedInterpretable Machine Learning Models for Modal Split Prediction in Transportation Systems

3 citations · 4 across the 8 of their papers we have counts for

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2 papers · 1 filter

eess.SY2024

A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization

Aron Brenner, Rahman Khorramfar, Jennifer Sun +1

Two-stage adaptive robust optimization (ARO) is a powerful approach for planning under uncertainty, balancing first-stage decisions with recourse decisions made after uncertainty i…

eess.SY2024

Learning-assisted Stochastic Capacity Expansion Planning: A Bayesian Optimization Approach

Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1

Solving large-scale capacity expansion problems (CEPs) is central to cost-effective decarbonization of regional-scale energy systems. To ensure the intended outcomes of CEPs, model…