Contribute to create a large library of building-related data on kaggle platform!
Data from a wide variety of sources (including Building Automation Systems (BAS), Internet of Things (IoT) sensors, and mobile devices) are now accessible in the cloud. The diversity and granularity of these data sources can be used to drive new data mining and machine learning ‘Applications’, that reduce energy consumption and enhance productivity in buildings.
In conjunction with the IEA Annex 81 community the BUDS Lab, led by Dr. Clayton Miller, is on a mission to curate a large library of building-related data sets and data science workflows on the Kaggle platform (https://www.kaggle.com/)!
If you have a data set you would like to contribute and if you want to learn more about the initiative please contact Dr. Miller at clayton@nus.edu.sg or through a DM via Linkedin!
Check out this talk Dr. Miller gave at the Annex 81 meeting last October for details: