- Using smart thermostat override data to provide insights for improving heating, ventilation, and air-conditioning system scheduling in a portfolio of small commercial buildings. In: Science and Technology for the Built Environment, v. 29, n. 9 (October 2023). (2023):
- Ten questions concerning occupant-centric control and operations. In: Building and Environment, v. 242 (August 2023). (2023):
- Inverse model-based detection of programming logic faults in multiple zone VAV AHU systems. In: Building and Environment, v. 211 (March 2022). (2022):
- Development and evaluation of data-driven controls for residential smart thermostats. In: Energy and Buildings, v. 249 (October 2021). (2021):
- A workflow for evaluating occupant-centric controls using building simulation. In: Journal of Building Performance Simulation, v. 14, n. 6 (2 November 2021). (2021):
- Evaluation of data-driven thermal models for multi-hour predictions using residential smart thermostat data. In: Journal of Building Performance Simulation, v. 15, n. 4 (May 2022). (2022):
- Exploring smart thermostat users’ schedule override behaviors and the energy consequences. In: Science and Technology for the Built Environment, v. 27, n. 2 (November 2020). (2020):
- Energy and comfort performance benefits of early detection of building sensor and actuator faults. In: Building Services Engineering Research and Technology, v. 39, n. 6 (October 2018). (2018):
- Is anyone home? A critical review of occupant-centric smart HVAC controls implementations in residential buildings. In: Building and Environment, v. 187 (January 2021). (2021):
- Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data. In: Building and Environment, v. 160 (August 2019). (2019):
- A longitudinal study of thermostat behaviors based on climate, seasonal, and energy price considerations using connected thermostat data. In: Building and Environment, v. 139 (July 2018). (2018):
- Shortest-prediction-horizon model-based predictive control for individual offices. In: Building and Environment, v. 82 (December 2014). (2014):
- Model-based predictive control of office window shades. In: Building Research & Information, v. 44, n. 4 ( 2016). (2016):
- On adaptive occupant-learning window blind and lighting controls. In: Building Research & Information, v. 42, n. 6 ( 2014). (2014):