Payel Das
- (2016): Designing uncertain optimization schemes for the economic assessment of stock energy-efficiency measures. In: Journal of Building Performance Simulation, v. 10, n. 1 (December 2016).
- (2017): Energy use predictions with machine learning during architectural concept design. In: Science and Technology for the Built Environment, v. 23, n. 6 (August 2017).
- (2015): What should the ventilation objectives be for retrofit energy efficiency interventions of dwellings?. In: Building Services Engineering Research and Technology, v. 36, n. 2 (February 2015).
- (2015): Strategies for reducing poor indoor air quality and adverse temperature exposure in Delhi's households: A multi-objective assessment. In: Building Services Engineering Research and Technology, v. 36, n. 2 (February 2015).
- (2014): Simulation of pollution transport in buildings: the importance of taking into account dynamic thermal effects. In: Building Services Engineering Research and Technology, v. 35, n. 6 (October 2014).
- (2015): Risk analysis of housing energy efficiency interventions under model uncertainty. In: Energy and Buildings, v. 109 (December 2015).
- (2016): Mapping indoor overheating and air pollution risk modification across Great Britain: A modelling study. In: Building and Environment, v. 99 (April 2016).
- (2015): Assessing uncertainty in housing stock infiltration rates and associated heat loss: English and UK case studies. In: Building and Environment, v. 92 (October 2015).
- (2014): Using probabilistic sampling-based sensitivity analyses for indoor air quality modelling. In: Building and Environment, v. 78 (August 2014).
- (2013): Multi-objective methods for determining optimal ventilation rates in dwellings. In: Building and Environment, v. 66 (August 2013).
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