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Building data genome project for smart buildings

09 Aug 2023

The Building Data Genome Directory provides a rich and comprehensive dataset collection for smart building energy research, covering ontologies, models, and data from energy, water, electric vehicles, BIM, FDD and occupant sensors.

The BDG and BDG2 incorporate over 3,000 electricity meters from over 1,600 buildings, principally in the United States of America, and covers years 2016-2017. Down to an hourly resolution, the datasets provide researchers and product development teams the ability to test models and optimisation on a wide array of real-world builing topologies.

Machine learning competitions are run by ASHRAE against the datasets, known as the \u201cGreat Energy Predictor\u201d with GEPIII run in 2019.

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'This data set can be used to benchmark various statistical learning algorithms and other data science techniques. It can also be used simply as a teaching or learning tool to practice dealing with measured performance data from large numbers of non-residential buildings.'

Dr Clayton Miller, National University of Singapore

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R&D

PropTech

CleanTech

Arne Hansen

Principal Consultant

Arne is a creator of strategies for technology and data in the built environment. Having worked with leading property trusts and government research institutions, Arne utilises his real-world experience of acquiring and processing data using agile development methodologies.

Our real-world experience with metering/telemetery, renewable energy and building automation systems provides us with the ability to consider holistic strategy that incorporates a focus on all aspects of energy management: real-time monitoring and control of metering, solar and battery inverters, HVAC systems and more; fault detection and diagnostics; model predictive controls; integration into the two-way-grid and future market structures.