Scott Sanner 
- (2021): Development and evaluation of data-driven controls for residential smart thermostats. Dans: Energy and Buildings, v. 249 (octobre 2021).
- (2022): Evaluation of data-driven thermal models for multi-hour predictions using residential smart thermostat data. Dans: Journal of Building Performance Simulation, v. 15, n. 4 (mai 2022).
- (2020): Exploring smart thermostat users’ schedule override behaviors and the energy consequences. Dans: Science and Technology for the Built Environment, v. 27, n. 2 (novembre 2020).
- (2019): Comparison of machine learning models for occupancy prediction in residential buildings using connected thermostat data. Dans: Building and Environment, v. 160 (août 2019).
- (2018): A longitudinal study of thermostat behaviors based on climate, seasonal, and energy price considerations using connected thermostat data. Dans: Building and Environment, v. 139 (juillet 2018).
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