A global challenge to automate building data classification, unlocking more intelligent, energy-efficient buildings for a sustainable future.
Buildings are one of the biggest energy consumers in the modern world, making energy efficiency essential. However, managing building systems data across different buildings is time-intensive and costly due to inconsistent data formats. This challenge invites you to transform building management by creating a solution that classifies building data automatically, promoting standardised, energy-efficient management for a more sustainable world.
Check the official competition page to join the competition and more information: https://www.aicrowd.com/challenges/brick-by-brick-2024
To get started, follow these seven easy steps:
- Join the challenge from the official AICrowd website and accept the terms: https://www.aicrowd.com/challenges/brick-by-brick-2024
- Download the dataset: https://www.aicrowd.com/challenges/brick-by-brick-2024/dataset_files
- Download
random_submission.py
- Create a directory called
data/
in the same location as therandom_submission.py
file - Move the downloaded dataset files into the
data/
directory. - Run
random_submission.py
locally, and it will generate a sample submission filedata/sample_submission_v0.1.0.csv.gz
. Might take few minutes. - Upload a sample submission file
data/sample_submission_v0.1.0.csv.gz
You can also use other codes in this library. Note that there are slight changes in the setup between the benchamrk for the paper and the competiton.