10 citations · 12 across the 3 of their papers we have counts for
5 papers
Data-Driven Moment-Based Distributionally Robust Chance-Constrained Optimization
Joshua Comden, Ahmed S. Zamzam, Andrey Bernstein
Many stochastic optimization problems include chance constraints that enforce constraint satisfaction with a specific probability; however, solving an optimization problem with cha…
Online State Estimation for Time-Varying Systems
Guido Cavraro, Emiliano Dall'Anese, Joshua Comden +1
The paper investigates the problem of estimating the state of a time-varying system with a linear measurement model; in particular, the paper considers the case where the number of…
Sample Complexity of Power System State Estimation using Matrix Completion
Joshua Comden, Marcello Colombino, Andrey Bernstein +1
In this paper, we propose an analytical framework to quantify the amount of data samples needed to obtain accurate state estimation in a power system - a problem known as sample co…
Incentivizing Reliable Demand Response with Customers' Uncertainties and Capacity Planning
Joshua Comden, Zhenhua Liu, Yue Zhao
One of the major issues with the integration of renewable energy sources into the power grid is the increased uncertainty and variability that they bring. If this uncertainty is no…
Harnessing Flexible and Reliable Demand Response Under Customer Uncertainties
Joshua Comden, Zhenhua Liu, Yue Zhao
Demand response (DR) is a cost-effective and environmentally friendly approach for mitigating the uncertainties in renewable energy integration by taking advantage of the flexibili…