4.7k citations · 10.6k across the 105 of their papers we have counts for
3 papers · 1 filter
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…
Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration
Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven +3
This paper focuses on the critical load restoration problem in distribution systems following major outages. To provide fast online response and optimal sequential decision-making…
Grid-Interactive Multi-Zone Building Control Using Reinforcement Learning with Global-Local Policy Search
Xiangyu Zhang, Rohit Chintala, Andrey Bernstein +2
In this paper, we develop a grid-interactive multi-zone building controller based on a deep reinforcement learning (RL) approach. The controller is designed to facilitate building…