Data analysis on highly sensed buildings for understanding patterns in building performance and energy use

This project includes application of data driven methodologies to 24/7 streaming data on HVAC systems and energy use in a highly sensed facility to identify patterns in building system performance and energy use for enabling setting of proactive management strategies.

Research Poster (.pdf)

Publications related to this project:
  1. Mora, M., Ergan, S., Chen, H., Deng, H., Huang, A., Maurer, J., Wang, N. (2015. “Learning about performance of building systems and facility operations through a capstone project course.” International Workshop on Computing in Civil Engineering, June 21-23, 2015, Texas, Austin, pp. 305-312. DOI:
  2. Gomez, A. R., Guindon, S., Pianka, T., Patel, N., Kasireddy, V., Li, E., Li, J., Ergan. S., and Berges, M. (2014). “Lessons learned from monitoring electricity consumption in a research lab through a capstone project course”, Accepted for publication in Proceedings of International Conference on Computing in Civil and Building Engineering ICCCBE/CIB W078, June 23-25, 2014, Florida, USA, pp. 2111-2118, DOI:
  3. Knox, K., Sanchez, A., Liu, X., Ergan, S., and Akinci, B. (2013). “Providing systems engineering perspective in a capstone project setting to monitor performance of HVAC systems”, Proceedings of ASCE International Workshop on Computing in Civil Engineering, June 23-25, 2013, University of Southern California, Los Angeles, USA, pp. 194-201. DOI: