13 papers
Learning Discrete Decisions for MIPs with Constraint-Aware Diffusion
Vincenzo Di Vito, Mehdi Taghizadeh, Deepjyoti Deka +2
This paper proposes a novel learning-based approach to approximately solve instances of mixed-integer optimization problems. These problems are computationally challenging, as they…
A Family of Convex Models to Achieve Fairness through Dispersion Control
Abhay Singh Bhadoriya, Deepjyoti Deka, Kaarthik Sundar
Controlling the dispersion of a subset of decision variables in an optimization problem is crucial for enforcing fairness or load-balancing across a wide range of applications. Bui…
Stability-Constrained AC Optimal Power Flow--A Gaussian Process-Based Approach
Vincenzo Di Vito, Kaarthik Sundar, Ferdinando Fioretto +1
The Alternating Current Optimal Power Flow (ACOPF) problem is a core task in power system operations, aimed at determining cost-effective generation dispatch while satisfying physi…
Equitable Routing--Rethinking the Multiple Traveling Salesman Problem
Abhay Singh Bhadoriya, Deepjyoti Deka, Kaarthik Sundar
The Multiple Traveling Salesman Problem (MTSP) extends the traveling salesman problem by assigning multiple salesmen to visit a set of targets from a common depot, with each target…
Simulating Arbitrage Optimization for Market Monitoring in Gas and Electricity Transmission Networks
Noah Rhodes, Sachin Shivakumar, Luke S. Baker +2
We examine market outcomes in energy transport networks with a focus on gas-fired generators, which are producers in a wholesale electricity market and consumers in the natural gas…
The Solution of Potential-Driven, Steady-State Nonlinear Network Flow Equations via Graph Partitioning
Shriram Srinivasan, Kaarthik Sundar
The solution of potential-driven steady-state flow in large networks is required in various engineering applications, such as transport of natural gas or water through pipeline net…