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20112026
most citedMonitoring and Optimization for Power Grids: A Signal Processing Perspective

235 citations · 635 across the 50 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

eess.SY2025

Dynamic Modeling of Load Demand in Electrified Highways Based on the EV Composition

Ashutossh Gupta, Vassilis Kekatos, Dionysios Aliprantis +1

Electrified roadways (ERs) equipped with the dynamic wireless power transfer (DWPT) technology can achieve longer driving range and reduce on-board battery requirements for electri…

eess.SY2025

Interpolatory Approximations of PMU Data: Dimension Reduction and Pilot Selection

Sean Reiter, Mark Embree, Serkan Gugercin +1

This work investigates the reduction of phasor measurement unit (PMU) data through low-rank matrix approximations. To reconstruct a PMU data matrix from fewer measurements, we prop…

quant-ph2025

Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit

Thinh Viet Le, Md Obaidur Rahman, Vassilis Kekatos

Interconnection studies require solving numerous instances of the AC load or power flow (AC PF) problem to simulate diverse scenarios as power systems navigate the ongoing energy t…

eess.SY2025

Frequency-Domain Characterization of Load Demand from Electrified Highways

Ashutossh Gupta, Vassilis Kekatos, Ruoyu Yang +2

Electrified roadways (ER) equipped with dynamic wireless power transfer (DWPT) capabilities can patently extend the driving range and reduce the battery size of electric vehicles (…

eess.SY2025

Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the AC Optimal Power Flow

Thinh Viet Le, Mark M. Wilde, Vassilis Kekatos

Conic programs arising in physics, quantum information, machine learning, and engineering are often defined over sparse graphs. Although such problems can be solved in polynomial t…

cs.LG2025

A Scalable Approach for Safe and Robust Learning via Lipschitz-Constrained Networks

Zain ul Abdeen, Vassilis Kekatos, Ming Jin

Certified robustness is a critical property for deploying neural networks (NN) in safety-critical applications. A principle approach to achieving such guarantees is to constrain th…

eess.SY2025

Solving Optimal Power Flow on a Data-Budget: Feature Selection on Smart Meter Data

Vassilis Kekatos, Ridley Annin, Manish K. Singh +1

How much data is needed to optimally schedule distributed energy resources (DERs)? Does the distribution system operator (DSO) have to know load demands at each bus of the feeder t…