William J. N. Turner
- Augmented Ensemble Calibration of lumped-parameter building models. In: Building Simulation, v. 12, n. 2 (Januar 2019). (2019):
- Residential hybrid ventilation: Airflow and heat transfer optimisation of a convector using computational fluid dynamics. In: Building Simulation, v. 8, n. 1 (November 2014). (2014):
- A simplified model for estimating population-scale energy impacts of building envelope air tightening and mechanical ventilation retrofits. In: Journal of Building Performance Simulation, v. 9, n. 1 (Februar 2015). (2015):
- Ensemble Calibration of lumped parameter retrofit building models using Particle Swarm Optimization. In: Energy and Buildings, v. 155 (November 2017). (2017):
- A statistically-based fault detection approach for environmental and energy management in buildings. In: Energy and Buildings, v. 158 (Januar 2018). (2018):
- Development of occupancy-integrated archetypes: Use of data mining clustering techniques to embed occupant behaviour profiles in archetypes. In: Energy and Buildings, v. 198 (September 2019). (2019):
- Evaluation of passive ventilation provision in domestic housing retrofit. In: Building and Environment, v. 106 (September 2016). (2016):
- An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema. In: Building and Environment, v. 94 (Dezember 2015). (2015):
- An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework. In: Building and Environment, v. 92 (Oktober 2015). (2015):
- Using a ventilation controller to optimise residential passive ventilation for energy and indoor air quality. In: Building and Environment, v. 70 (Dezember 2013). (2013):
- A combined energy and IAQ assessment of the potential value of commissioning residential mechanical ventilation systems. In: Building and Environment, v. 60 (Februar 2013). (2013):
- Building performance optimisation: A hybrid architecture for the integration of contextual information and time-series data. In: Automation in Construction, v. 70 (Oktober 2016). (2016):