Grid-Interactive Building Control Via Reinforcement Learning

Xiangyu Zhang

Research output: NRELPresentation

Abstract

In this work, we present the proposed two-stage reinforcement learning approach for training building controllers to help buildings to participate in DR events. The original conference paper for this research idea can be found at https://www.nrel.gov/docs/fy21osti/78000.pdf.
Original languageAmerican English
Number of pages11
StatePublished - 2021

Publication series

NamePresented at the 13th International Conference on Applied Energy (ICAE 2021), 29 November - 2 December 2021

NREL Publication Number

  • NREL/PR-2C00-81534

Keywords

  • building control
  • demand response
  • reinforcement learning

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