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 language | English |
|---|---|
| Title of host publication | BuildSys '21 |
| Subtitle of host publication | Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation |
| Publisher | Association for Computing Machinery, Inc. |
| Pages | 218-219 |
| Number of pages | 2 |
| ISBN (Electronic) | 978-1-4503-9114-6 |
| DOIs | |
| Publication status | Published - 17 Nov 2021 |
| Externally published | Yes |
| Event | 8th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2021 - Virtual, Online, Portugal Duration: 17 Nov 2021 → 18 Nov 2021 |
Conference
| Conference | 8th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2021 |
|---|---|
| Country/Territory | Portugal |
| City | Virtual, Online |
| Period | 17/11/21 → 18/11/21 |
Bibliographical note
Publisher Copyright:© 2021 Owner/Author.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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