4 citations · 9 across the 3 of their papers we have counts for
5 papers
From Model-Based to Model-Free: Learning Building Control for Demand Response
David Biagioni, Xiangyu Zhang, Christiane Adcock +3
Grid-interactive building control is a challenging and important problem for reducing carbon emissions, increasing energy efficiency, and supporting the electric power grid. Curren…
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
David J. Biagioni, Xiangyu Zhang, Peter Graf +2
We present a careful comparison of two model-free control algorithms, Evolution Strategies (ES) and Proximal Policy Optimization (PPO), with receding horizon model predictive contr…
On the Computational Viability of Quantum Optimization for PMU Placement
Eric B. Jones, Eliot Kapit, Chin-Yao Chang +4
Using optimal phasor measurement unit placement as a prototypical problem, we assess the computational viability of the current generation D-Wave Systems 2000Q quantum annealer for…
Learning-Accelerated ADMM for Distributed Optimal Power Flow
David Biagioni, Peter Graf, Xiangyu Zhang +3
We propose a novel data-driven method to accelerate the convergence of Alternating Direction Method of Multipliers (ADMM) for solving distributed DC optimal power flow (DC-OPF) whe…
Keeping greed good: sparse regression under design uncertainty with application to biomass characterization
David J. Biagioni, Ryan Elmore, Wesley Jones
In this paper, we consider the classic measurement error regression scenario in which our independent, or design, variables are observed with several sources of additive noise. We…