Surrogate modelling for sustainable building design-A review P Westermann, R Evins Energy and Buildings, 2019 | 125 | 2019 |

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 | 49 | 2020 |

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 | 29 | 2020 |

Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models P Westermann, R Evins Energy and AI 3, 100039, 2021 | 18 | 2021 |

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 | 7 | 2021 |

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 | 7 | 2021 |

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 | 4 | 2019 |

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 | 2 | 2020 |

Using Multiple Linear Regression to Estimate Building Retrofit Energy Reductions W Bowley, P Westermann, R Evins eSIM, Montreal, 2018 | 1 | 2018 |

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 | | |