Theme D: Data Analytics for the Built Environment
The broad research objective in this theme is to develop analytics engines to analyse building related datasets with the purpose of:
• Modeling occupant needs and preferences that can be fulfilled by intelligent building control systems, and their behavioural response to energy reduction incentives;
• Assessing the system state for preventive maintenance scheduling and low-latency fault detection of building components;
• Identifying characteristics of highly energy efficient buildings at the community-scale; and
• Making aggregate data and data analytics algorithms and software available to the community using widely acceptable open source principles.
Download the Theme D factsheet here.