Summary of The Smart Buildings Control Suite: a Diverse Open Source Benchmark to Evaluate and Scale Hvac Control Policies For Sustainability, by Judah Goldfeder et al.
The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability
by Judah Goldfeder, Victoria Dean, Zixin Jiang, Xuezheng Wang, Bing dong, Hod Lipson, John Sipple
First submitted to arxiv on: 2 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computers and Society (cs.CY); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (cs.LG); Systems and Control (eess.SY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The Smart Buildings Control Suite presents an open-source interactive HVAC control benchmark that focuses on scalable solutions. By leveraging real-world telemetric data from 11 buildings over six years, a lightweight simulator for each building, and a Physically Informed Neural Network (PINN) building model as an alternative, this suite aims to address the challenge of scaling HVAC optimization from lab settings to thousands of buildings. The benchmark includes a variety of climates, management systems, and sizes, ensuring that solutions are robust to these factors and rely only on scalable building models. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The Smart Buildings Control Suite is an open-source interactive HVAC control benchmark that helps optimize heating, ventilation, and air conditioning (HVAC) in commercial buildings. It uses real-world data from 11 buildings over six years, a simulator for each building, and a special kind of artificial intelligence called a Physically Informed Neural Network (PINN). This makes it easy to use the same solutions in many different buildings, no matter where they are or what kind of management system they have. This is important because commercial buildings produce 17% of U.S. carbon emissions, with half of that coming from HVAC systems. |
Keywords
» Artificial intelligence » Neural network » Optimization
