34 citations · 141 across the 44 of their papers we have counts for
7 papers · 1 filter
Electric-Gas Infrastructure Planning for Deep Decarbonization of Energy Systems
Rahman Khorramfar, Dharik Mallapragada, Saurabh Amin
The transition to a deeply decarbonized energy system requires coordinated planning of infrastructure investments and operations serving multiple end-uses while considering technol…
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1
A rapid transformation of current electric power and natural gas (NG) infrastructure is imperative to meet the mid-century goal of CO2 emissions reduction requires. This necessitat…
Convergence and Stability of Coupled Belief--Strategy Learning Dynamics in Continuous Games
Manxi Wu, Saurabh Amin, Asuman Ozdaglar
We propose a learning dynamics to model how strategic agents repeatedly play a continuous game while relying on an information platform to learn an unknown payoff-relevant paramete…
Optimal Information Provision for Strategic Hybrid Workers
Sohil Shah, Saurabh Amin, Patrick Jaillet
We study the problem of information provision by a strategic central planner who can publicly signal about an uncertain infectious risk parameter. Signalling leads to an updated pu…
Securing Signal-free Intersections against Strategic Jamming Attacks: A Macroscopic Approach
Yumeng Bai, Saurabh Amin, Xudong Wang +1
We consider the security-by-design of a signal-free intersection for connected and autonomous vehicles in the face of strategic jamming attacks. We use a fluid model to characteriz…
Green Routing Game: Strategic Logistical Planning using Mixed Fleets of ICEVs and EVs
Hampei Sasahara, György Dán, Saurabh Amin +1
This paper introduces a "green" routing game between multiple logistic operators (players), each owning a mixed fleet of internal combustion engine vehicle (ICEV) and electric vehi…
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems
Aron Brenner, Manxi Wu, Saurabh Amin
Modal split prediction in transportation networks has the potential to support network operators in managing traffic congestion and improving transit service reliability. We focus…