Skip to main navigation Skip to search Skip to main content

The citylearn challenge 2021

  • Zoltan Nagy
  • , José R. Vázquez-Canteli
  • , Sourav Dey
  • , Gregor Henze

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We present the results of The CityLearn Challenge 2021. Five teams competed over six months to design the best multi-agent reinforcement learning agent for the energy management of a microgrid of nine buildings.

Original languageEnglish
Title of host publicationBuildSys '21
Subtitle of host publicationProceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
PublisherAssociation for Computing Machinery, Inc.
Pages218-219
Number of pages2
ISBN (Electronic)978-1-4503-9114-6
DOIs
Publication statusPublished - 17 Nov 2021
Externally publishedYes
Event8th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2021 - Virtual, Online, Portugal
Duration: 17 Nov 202118 Nov 2021

Conference

Conference8th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2021
Country/TerritoryPortugal
CityVirtual, Online
Period17/11/2118/11/21

Bibliographical note

Publisher Copyright:
© 2021 Owner/Author.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Fingerprint

Dive into the research topics of 'The citylearn challenge 2021'. Together they form a unique fingerprint.

Cite this