Jayson Bursill
- (2024): Deployment of real-time building automation system-integrated inverse-model-based fault detection and diagnostics algorithms. In: Science and Technology for the Built Environment, v. 30, n. 2 (January 2024).
- (2023): Estimating energy savings from HVAC controls fault correction through inverse greybox model-based virtual metering. In: Energy and Buildings, v. 282 (March 2023).
- (2022): Inverse model-based detection of programming logic faults in multiple zone VAV AHU systems. In: Building and Environment, v. 211 (March 2022).
- (2021): The in-situ implementation of a feature-rich thermostat: A building engineering and human factors approach to improve perceived control in offices. In: Building and Environment, v. 199 (July 2021).
- (2019): Experimental application of classification learning to generate simplified model predictive controls for a shared office heating system. In: Science and Technology for the Built Environment, v. 25, n. 5 (28 May 2019).
- (2017): Development and implementation of a thermostat learning algorithm. In: Science and Technology for the Built Environment, v. 24, n. 1 (October 2017).
- (2020): Multi-zone field study of rule extraction control to simplify implementation of predictive control to reduce building energy use. In: Energy and Buildings, v. 222 (September 2020).
- (2020): Disaggregation of commercial building end-uses with automation system data. In: Energy and Buildings, v. 223 (September 2020).
- (2021): Proxy zone-level energy use estimation in a commercial building with a variable air volume system. In: Journal of Building Engineering, v. 33 (January 2021).
- (2014): Shortest-prediction-horizon model-based predictive control for individual offices. In: Building and Environment, v. 82 (December 2014).
Structurae cooperates with
