The Web Conf. 2025 Competition
Automating Building Data Classification
A global challenge to automate building data classification, unlocking more intelligent, energy-efficient buildings for a sustainable future.
Buildings are among the largest energy consumers in the modern world, making energy efficiency essential. However, managing building system data across diverse facilities is time-consuming and costly due to inconsistent data formats. This time-series classification problem transformed building management by creating a solution that automatically classifies building data, promoting standardised, energy-efficient management for a more sustainable world.
In this workshop, selected teams present their top solutions to advance smart buildings.
Official Website: https://www.aicrowd.com/challenges/brick-by-brick-2024
Post-competition Archival Repository: https://github.com/cruiseresearchgroup/DIEF_BTS/tree/main/competition1
[The Web Conf. 25] Brick-by-Brick 2024 competition workshop details:
13:30 - 15:00: Session 1
15:00 - 15:30: Break
15:30 - 17:00: Session 2
This research is supported by the NSW Government through the CSIRO’s NSW Digital Infrastructure Energy Flexibility (DIEF) project, funded under the Net Zero Plan Stage 1: 2020-2030. This project is also funded by the Reliable Affordable Clean Energy for 2030 (RACE for 2030) Cooperative Research Centre. This competition is organised by UNSW Sydney with special thanks to UOW. This competition is hosted on AIcrowd.