About Me
Hi! I am a Research Associate with the National Research Council of Canada and a recent PhD graduate.
Research Interest
My research is on the applicaiton of data-driven methods to the built environment. Ultimately the goal is to reduce energy usage, improve occupant comfort, and resiliency using state of the art methods including machine, reinforcement, and deep learning.
Publications
- Gunay, B., Bursill, J., Huchuk, B., & Shillinglaw, S. (2022). Inverse model-based detection of programming logic faults in multiple zone VAV AHU systems. Building and Environment.
- Huchuk, B. (2021). A data-driven study of connected residential thermostats to investigate user behavior, thermal modelling, and optimal control of HVAC systems. .
- Huchuk, B., Bahiraei, F., & Dutta, S. (2021). Data-driven identification of occupant-thermostat interactions in small commercial buildings. Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
- Huchuk, B., Sanner, S., & O’Brien, W. (2021). Development and evaluation of data-driven controls for residential smart thermostats. Energy and Buildings.
- Hobson, B., Huchuk, B., Gunay, H., & O’Brien, W. (2021). A workflow for evaluating occupant-centric controls using building simulation. Journal of Building Performance Simulation.
- Huchuk, B., Sanner, S., & O'Brien, W. (2021). Evaluation of data-driven thermal models for multi-hour predictions using residential smart thermostat data. Journal of Building Performance Simulation.
- Stopps, H., Huchuk, B., Touchie, M., & O'Brien, W. (2021). Is anyone home? A critical review of occupant-centric smart HVAC controls implementations in residential buildings. Building and Environment.
- Huchuk, B., O’brien, W., & Sanner, S. (2020). Exploring smart thermostat users’ schedule override behaviors and the energy consequences. Science and Technology for the Built Environment.
- Huchuk, B., Sanner, S., & O'Brien, W. (2019). Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data. Building and Environment.
- Gunay, H., Shen, W., Huchuk, B., & Shi, Z. (2018). A Preliminary Study on Text-Mining Operator Logbooks to Develop a Fault-Frequency Model (CH-18-016). ASHRAE 2018 Winter Conference.
- Gunay, B., Shen, W., Huchuk, B., Yang, C., Bucking, S., & O’Brien, W. (2018). Energy and comfort performance benefits of early detection of building sensor and actuator faults. Building Services Engineering Research and Technology.
- Huchuk, B., O'Brien, W., & Sanner, S. (2018). A longitudinal study of thermostat behaviors based on climate, seasonal, and energy price considerations using connected thermostat data. Building and Environment.
- Shi, Z., Weiming Shen PhD, P., & Huchuk, B. (2018). A preliminary study on text mining operator logbooks to develop a fault-frequency model. ASHRAE Transactions.
- Huchuk, B., Gunay, H., O'Brien, W., & Cruickshank, C. (2016). Model-based predictive control of office window shades. Building Research & Information.
- Huchuk, B. (2014). Model-based predictive control of window shades. .
- Gunay, H., Bursill, J., Huchuk, B., O'Brien, W., & Beausoleil-Morrison, I. (2014). Shortest-prediction-horizon model-based predictive control for individual offices. Building and Environment.
- Gunay, H., O’Brien, W., Beausoleil-Morrison, I., Huchuk, B., Palmer, M., Fletcher, J., & Pavlovski, A. (2014). The effect of input uncertainty in model-based predictive control. Ottawa, ON: eSim.
- Huchuk, B., Cruickshank, C., O’Brien, W., & Gunay, H. (2014). Recursive thermal building model training using Ensemble Kalman Filters. Proc. eSim.
- Gunay, H., O'Brien, W., Beausoleil-Morrison, I., & Huchuk, B. (2014). On adaptive occupant-learning window blind and lighting controls. Building Research & Information.
- Huchuk, B., O’Brien, W., & Cruickshank, C. (2013). Preliminary Results of Model Predictive Control of Shading Systems.. Proceedings of the Symposium on Simulation for Architecture & Urban Design.