24 citations · 76 across the 58 of their papers we have counts for
86 papers
Scalable Self-Supervised Learning for Multiphase AC-OPF in Distribution Systems with Topology Reconfiguration
Hoang T. Nguyen, Shaohui Liu, Reetam Sen Biswas +4
The proliferation of distributed energy resources (DERs) in distribution grids enables the active coordination of these assets to reduce costs and enable cleaner operations. Realiz…
Constrained Graph Diffusion for Mixed Integer Optimization
Vincenzo Di Vito, Yusuf Guven, Mehdi Taghizadeh +4
This paper proposes a novel learning-based approach to approximately solve instances of mixed-integer optimization problems. These problems are computationally challenging, as they…
Strategic Spatial Load Shifting and Market Efficiency
Aron Brenner, Deepjyoti Deka, Line Roald +1
Large, spatially flexible electricity consumers such as data centers can reallocate demand across locations, influencing dispatch and prices in wholesale electricity markets. While…
Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes
Jie Feng, Yuanyuan Shi, Deepjyoti Deka
Reinforcement learning (RL) has shown great potential for designing voltage control policies, but their performance often degrades under changing system conditions such as topology…
Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids
Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka +1
The adversarial worst-case load shedding (AWLS) problem is pivotal for identifying critical contingencies under line outages. It is naturally cast as a bilevel program: the upper l…
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…