Competition challenges AI models to optimize HVAC control across unfamiliar buildings

Goldfeder et al. propose a benchmark where control policies trained on simulated buildings are scored on unseen buildings and climate stations to test transfer.

Big Tech
Judah Goldfeder · Ayush Rai · Philippe M. Wyder · Na Li · Victoria Dean · Donna Vakalis · +8 more

Columbia University · Harvard University · Distyl AI · Princeton University · Mila

Research Digest··3 min read
The authors introduce a competition built on the Smart Buildings Control Suite, in which participants train HVAC control policies on procedurally generated simulated buildings and are evaluated on held-out buildings and climates.

The authors designed a challenge to address the lack of policy transfer in building control.

Why this paper

From Google and 8 others

In one line

A procedural HVAC benchmark measures whether one controller can transfer across unseen building designs and climates with minimal per-building configuration.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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Research Digest

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