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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
1252019
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
492020
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
292020
Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models
P Westermann, R Evins
Energy and AI 3, 100039, 2021
182021
Identifying whole-building heat loss coefficient from heterogeneous sensor data: An empirical survey of gray and black box approaches
G Baasch, P Westermann, R Evins
Energy and Buildings 241, 110889, 2021
72021
BESOS: Building and energy simulation, optimization and surrogate modelling
P Westermann, TV Christiaanse, W Beckett, P Kovacs, R Evins
Journal of Open Source Software 6 (60), 2677, 2021
72021
Adaptive Sampling For Building Simulation Surrogate Model Derivation Using The LOLA-Voronoi Algorithm
P Westermann, R Evins
Proceedings of the 16th IBPSA Conference Rome, Italy, Sept. 2-4, 2019, 1559-1663, 2019
42019
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
22020
Using Multiple Linear Regression to Estimate Building Retrofit Energy Reductions
W Bowley, P Westermann, R Evins
eSIM, Montreal, 2018
12018
Buildingenergy. ninja: A web-based surrogate model for instant building energy time series for any climate.
P Westermann, G Rousseau, R Evins
Journal of Physics: Conference Series 2042 (1), 012012, 2021
2021
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
Machine Learning Recommendations for Control of Complex Building Systems Using Weather Forecasts
P Westermann, N David, R Evins
eSIM, Montreal, 2018
2018
BESOS: a Python library that links EnergyPlus with optimization and machine learning tools
TV Christiaanse, P Westermann, W Beckett, G Faure, R Evins
Net-Zero Navigator: A platform for interactive net-zero building design using surrogate modelling
P Westermann, D Rulff, K Cant, G Faure, R Evins
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