- (2022): Partitioning Climate, Users, and Thermophysical Uncertainties from Building Energy Use: A Monte Carlo & ANOVA Approach. In: Buildings, v. 12, n. 2 (18 January 2022).
- (2021): The Relationship between Urban Density and Building Energy Consumption. In: Buildings, v. 11, n. 10 (22 September 2021).
- Developing an Automated Method for the Application of Lidar in Iumat Land-use Model: Analysis of Land-use Changes Using Building-form Parameterization, Gis, and Artificial Neural Networks. In: Journal of Green Building, v. 14, n. 1 (January 2019). (2019):
- Predicting water consumption from energy data: Modeling the residential energy and water nexus in the integrated urban metabolism analysis tool (IUMAT). In: Energy and Buildings, v. 158 (January 2018). (2018):
- Evaluation of current and future hourly weather data intended for building designs: A Philadelphia case study. In: Energy and Buildings, v. 199 (September 2019). (2019):
- Urban residential energy consumption modeling in the Integrated Urban Metabolism Analysis Tool (IUMAT). In: Building and Environment, v. 114 (March 2017). (2017):
- A framework for integrated urban metabolism analysis tool (IUMAT). In: Building and Environment, v. 82 (December 2014). (2014):