- Reducing uncertainty of building shape information in urban building energy modeling using Bayesian calibration. In: Sustainable Cities and Society, v. 116 (December 2024). (2024):
- Retrofit building energy performance evaluation using an energy signature-based symbolic hierarchical clustering method. In: Building and Environment, v. 251 (March 2024). (2024):
- Correlation analysis of building parameters according to ASHRAE Standard 90.1. In: Journal of Building Engineering, v. 82 (April 2024). (2024):
- Multicollinearity issue for the parameterization of urban ventilation potential with urban morphology. In: Sustainable Cities and Society, v. 87 (December 2022). (2022):
- Estimating unknown parameters of a building stock using a stochastic-deterministic-coupled approach. In: Energy and Buildings, v. 255 (January 2022). (2022):
- (2017): Review on stochastic modeling methods for building stock energy prediction. In: Building Simulation, v. 10, n. 5 (May 2017).
- Comprehensive evaluation of the influence of meta-models on Bayesian calibration. In: Energy and Buildings, v. 155 (November 2017). (2017):
- Weather-driven infiltration and interzonal airflow in a multifamily high-rise building: Dwelling infiltration distribution. In: Building and Environment, v. 181 (August 2020). (2020):
- Identifying stack-driven indoor environmental problems and associated pressure difference in high-rise residential buildings: Airflow noise and draft. In: Building and Environment, v. 168 (January 2020). (2020):
- Interaction analysis of countermeasures for the stack effect in a high-rise office building. In: Building and Environment, v. 168 (January 2020). (2020):
- Heat, vapor, and CO2 transportation caused by airflow in high-rise residential buildings. In: Building and Environment, v. 160 (August 2019). (2019):
- Stack-driven infiltration and heating load differences by floor in high-rise residential buildings. In: Building and Environment, v. 157 (June 2019). (2019):
- Integrating Sustainability into the Optimization of Fuel Logistics Networks. In: KSCE Journal of Civil Engineering, v. 23, n. 3 (January 2019). (2019):