Project Background and Objective
The operational data collected from sensors installed in buildings are unstructured and difficult to comprehend, and a manual and labor-intensive process is required to tag the data with standardized and readable tags before potential energy-saving opportunities can be identified in building management systems(BMS).
This project aims to develop an automated solution for tagging and analysis of IoT devices' data in order to identify potential energy-saving opportunities for BMS.