After a very successful first event with over 200 registrations, we’re excited to organize the 2nd ACM SIGEnergy Workshop on Reinforcement Learning for Energy Management in Buildings and Cities (RLEM’21) co-located with ACM BuildSys’21 (https://buildsys.acm.org/2021) in November’21. BuildSys is a highly selective, single-track forum for research on systems issues covering all aspects of the built environment, and an ideal venue for researchers and practitioners working to develop and optimize such smart infrastructure systems that are driven by networked sensing, computing, and control functions.
We invite original submissions that explore the use of reinforcement learning algorithms for intelligent infrastructure and energy management. Topics of interest include, but are not limited to:
- Challenges and Opportunities for RL in Building and Cities
- Explorations of model vs model-free RL algorithms and hybrids
- Comparisons of RL algorithms to other control solutions, e.g., model-predictive control
- Frameworks and datasets for benchmarking algorithms
- Theoretical contributions to the RL field brought about by constraints/challenges in the buildings/cities domains
- Grid-interactive energy efficient buildings
- Applications (demand response, HVAC, distributed energy systems, renewable energy integration, occupant integration, traffic scheduling, EV charging)
Workshop Website: http://rlem-workshop.net
Submission portal: http://rlem21.hotcrp.com
Important Dates:
Abstract registration (required): August 16th, 2021 AoE
Submission deadline: August 23rd, 2021 AoE