Ralph Evins 
- (2023): An empirical review of methods to assess overheating in buildings in the context of changes to extreme heat events. In: Journal of Building Performance Simulation, v. 17, n. 3 (October 2023).
- (2022): Improved calibration of building models using approximate Bayesian calibration and neural networks. In: Journal of Building Performance Simulation, v. 16, n. 3 (October 2022).
- (2021): Identifying whole-building heat loss coefficient from heterogeneous sensor data: An empirical survey of gray and black box approaches. In: Energy and Buildings, v. 241 (June 2021).
- (2019): A comparison of building energy optimization problems and mathematical test functions using static fitness landscape analysis. In: Journal of Building Performance Simulation, v. 12, n. 6 (November 2019).
- (2020): The impact of local variations in a temperate maritime climate on building energy use. In: Journal of Building Performance Simulation, v. 13, n. 2 (January 2020).
- (2015): A bi-level design and operation optimization process applied to an energy centre. In: Journal of Building Performance Simulation, v. 9, n. 3 (August 2015).
- (2015): Variability between domestic buildings: the impact on energy use. In: Journal of Building Performance Simulation, v. 9, n. 2 (April 2015).
- (2014): Simulating external longwave radiation exchange for buildings. In: Energy and Buildings, v. 75 (June 2014).
- (2014): Towards an energy sustainable community: An energy system analysis for a village in Switzerland. In: Energy and Buildings, v. 84 (December 2014).
- (2019): Surrogate modelling for sustainable building design – A review. In: Energy and Buildings, v. 198 (September 2019).
- (2019): Building energy optimization: An extensive benchmark of global search algorithms. In: Energy and Buildings, v. 187 (March 2019).
- (2020): Assessing energy and emissions savings for space conditioning, materials and transportation for a high-density mixed-use building. In: Journal of Building Engineering, v. 31 (September 2020).
- (2012): A case study exploring regulated energy use in domestic buildings using design-of-experiments and multi-objective optimisation. In: Building and Environment, v. 54 (August 2012).
- (2012): Multi-objective design optimisation: getting more for less. In: Proceedings of the Institution of Civil Engineers - Civil Engineering, v. 165, n. 5 (May 2012).
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