- On the influence of solar insolation and increase of outdoor temperature on energy savings obtained in heating system with forecast control. Dans: Energy and Buildings, v. 320 (octobre 2024). (2024):
- Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook. Dans: Building Simulation, v. 17, n. 5 (janvier 2024). (2024):
- Tropical climates and the interplay between IEQ and energy consumption in buildings: A review. Dans: Building and Environment, v. 242 (août 2023). (2023):
- Early-stage design support combining machine learning and building information modelling. Dans: Automation in Construction, v. 136 (avril 2022). (2022):
- Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings. Dans: Energy and Buildings, v. 252 (décembre 2021). (2021):
- (2021): Impact of Measurement Uncertainty on Building Modeling and Retrofitting Decisions. Dans: Frontiers in Built Environment, v. 7 (janvier 2021).
- (2020): Building Energy Performance Assessment Using an Easily Deployable Sensor Kit: Process, Risks, and Lessons Learned. Dans: Frontiers in Built Environment, v. 6 (janvier 2020).
- Do energy performance certificates allow reliable predictions of actual energy consumption and savings? Learning from the Swiss national database. Dans: Energy and Buildings, v. 224 (octobre 2020). (2020):
- Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks. Dans: Energy and Buildings, v. 121 (juin 2016). (2016):
- Energy performance model development and occupancy number identification of institutional buildings. Dans: Energy and Buildings, v. 123 (juillet 2016). (2016):
- Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique. Dans: Energy and Buildings, v. 126 (août 2016). (2016):
- k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement. Dans: Energy and Buildings, v. 146 (juillet 2017). (2017):
- Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data. Dans: Energy and Buildings, v. 159 (janvier 2018). (2018):
- Automated load disaggregation for residences with electrical resistance heating. Dans: Energy and Buildings, v. 182 (janvier 2019). (2019):
- Wireless sensor network for estimating building performance. Dans: Automation in Construction, v. 111 (mars 2020). (2020):
- Identifying temporal properties of building components and indoor environment for building performance assessment. Dans: Building and Environment, v. 168 (janvier 2020). (2020):
- A simple technique to classify urban locations with respect to human thermal comfort: Proposing the HXG scale. Dans: Building and Environment, v. 46, n. 6 (juin 2011). (2011):
- Evaluation of thermal comfort in a rail terminal location in India. Dans: Building and Environment, v. 45, n. 11 (novembre 2010). (2010):
- A simplified tool for building layout design based on thermal comfort simulations. Dans: Frontiers of Architectural Research, v. 6, n. 2 (juin 2017). (2017):