86 citations · 158 across the 6 of their papers we have counts for
6 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…
PowerGridworld: A Framework for Multi-Agent Reinforcement Learning in Power Systems
David Biagioni, Xiangyu Zhang, Dylan Wald +4
We present the PowerGridworld software package to provide users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environm…
Analytical solution for the cumulative wake of wind turbines in wind farms
Majid Bastankhah, Bridget L. Welch, Luis A. Martínez-Tossas +2
This paper solves an approximate form of conservation of mass and momentum for a turbine in a wind farm array. The solution is a fairly simple explicit relationship that predicts t…
The Area Localized Coupled Model for Analytical Mean Flow Prediction in Arbitrary Wind Farm Geometries
Genevieve M. Starke, Charles Meneveau, Jennifer R. King +1
This work introduces the Area Localized Coupled (ALC) model, which extends earlier approaches to coupling classical wake superposition and atmospheric boundary layer models in orde…
Expert Elicitation on Wind Farm Control
J. W. van Wingerden, P. A. Fleming, T. Göçmen +13
Wind farm control is an active and growing field of research in which the control actions of individual turbines in a farm are coordinated, accounting for inter-turbine aerodynamic…
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…