- (2022): An Innovative Modelling Approach Based on Building Physics and Machine Learning for the Prediction of Indoor Thermal Comfort in an Office Building. In: Buildings, v. 12, n. 4 (11 April 2022).
- A methodology for calibration of building energy models at district scale using clustering and surrogate techniques. In: Energy and Buildings, v. 226 (November 2020). (2020):
- Identification of representative buildings and building groups in urban datasets using a novel pre-processing, classification, clustering and predictive modelling approach. In: Building and Environment, v. 140 (August 2018). (2018):