CityLearn Challenge 2022 - Winners Announced!

🏆And here are the winners! Please join me in congratulating the winners of the CityLearn Challenge 2022:

🥇1st Prize ($8000) Team Together (Alibaba Group, China)
🥈2nd Prize ($5000) Team ambitiousengineers (University of Washingtonand University of Hawaii at Manoa, USA)
🥉3rd Prize ($2000) Team CUFE (Cairo University, Egypt)

Thank you to EPRI for sponsoring the award and providing real-world data for use in the challenge, and to Amazon Science for sponsoring the compute credits. 

Kingsley Nweye (Intelligent Environments Laboratory) and Dipam Chakraborty (AIcrowd) ran a fantastic job in the background to ensure a smooth challenge!

Team DivMARL (University of Alberta, Canada) and 
Team Greener (Microsoft Research Asia, Tsinghua UniversityiSoftStone)

All teams provided solutions for behind the meter coordination of distributed energy resources in single family homes based on real world data and the CityLearn Open AI Gym environment. Read about the challenge here:

We are working on a solutions paper with the participants. Meanwhile, you can also rewatch the team’s presentation at our NeurIPS’22 workshop here:

AND: ACM SIGEnergy is awarding three travel grants (up to $1000 each) to BuildSys23 or eEnergy23 as community prizes for the following challenge participants for their contribution in improving the challenge (identifying and fixing bugs, providing notebooks to other participants, and/or participating in online discussions):

Ludwig Bald (University of Tuebingen, Germany)
Chia E. Tungom (Chemago) (Shenzhen University & OneWo, China)
Julian Jacques Ruddick (Vrije Universiteit Brussel, Belgium)

A big special THANK YOU goes to the over 600 participants who made this challenge a big success!

Thanks to the Energy Institute, The University of Texas at Austin for financially supporting the challenge organization and AIcrowd for executing the challenge. Finally, thanks to our advisors Tianzhen Hong (Berkeley LabJán Drgoňa (Pacific Northwest National Laboratory) and Greg Henze (University of Colorado Boulder).

And last but not least thanks to Siva Sankaranarayanan - EPRI’s lead for the AI Grand Challenge in Grid-Interactive Smart Communities.

See you all for the CityLearn Challenge 2023!

Zoltan Nagy
Zoltan Nagy
Assistant Professor

My research interests include reinforcement learning for buildings and smart cities.