Paul Westermann
Paul Westermann
Verified email at uvic.ca
Title
Cited by
Cited by
Year
Surrogate modelling for sustainable building design-A review
P Westermann, R Evins
Energy and Buildings, 2019
212019
Using a deep temporal convolutional network as a building energy surrogate model that spans multiple climate zones
P Westermann, M Welzel, R Evins
Applied Energy 278, 115563, 2020
22020
Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data
P Westermann, C Deb, A Schlueter, R Evins
Applied Energy 264, 114715, 2020
22020
Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
P Westermann, R Evins
arXiv preprint arXiv:2010.03029, 2020
2020
Advancing surrogate modelling for sustainable building design.
PW Westermann
2020
Net-Zero Navigator: A platform for interactive net-zero building design using surrogate modelling
P Westermann, D Rulff, K Cant, G Faure, R Evins
Preprint on EnerArxiv, 2020
2020
Adaptive Sampling For Building Simulation Surrogate Model Derivation Using The LOLA-Voronoi Algorithm
P Westermann, R Evins
Building Simulation 2019, 2019
2019
Insight Into Predictive models: On The Joint Use Of Clustering And Classification By Association (CBA) On Building Time Series
P Westermann, J Grieco, J Braun, E Murphy, R Evins
Building Simulation 2019, 2019
2019
Using Multiple Linear Regression to Estimate Building Retrofit Energy Reductions
W Bowley, P Westermann, R Evins
eSIM, Montreal, 2018
2018
Machine Learning Recommendations for Control of Complex Building Systems Using Weather Forecasts
P Westermann, N David, R Evins
eSIM, Montreal, 2018
2018
BESOS: Building and Energy Simulation, Optimization and Surrogate-modelling
P Westermann, T Christiaanse, W Beckett, P Kovacs, R Evins
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