- A Case Study: Intelligent Shading Retrofit To Existing Home-office Using Multi-objective Optimization. Dans: Journal of Green Building, v. 19, n. 1 (22 février 2024). (2024):
- Investigating the Application of a Commercial and Residential Energy Consumption Prediction Model for Urban Planning Scenarios with Machine Learning and Shapley Additive Explanation Methods. Dans: Energy and Buildings, v. 287 (mai 2023). (2023):
- (2022): Partitioning Climate, Users, and Thermophysical Uncertainties from Building Energy Use: A Monte Carlo & ANOVA Approach. Dans: Buildings, v. 12, n. 2 (18 janvier 2022).
- (2021): The Relationship between Urban Density and Building Energy Consumption. Dans: Buildings, v. 11, n. 10 (22 septembre 2021).
- Occupant health in buildings: Impact of the COVID-19 pandemic on the opinions of building professionals and implications on research. Dans: Building and Environment, v. 207 (janvier 2022). (2022):
- 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. Dans: Journal of Green Building, v. 14, n. 1 (janvier 2019). (2019):
- The Relationship Between Comfort Perceptions and Academic Performance in University Classroom Buildings. Dans: Journal of Green Building, v. 11, n. 1 (mars 2016). (2016):
- Is Boston Building Better? an Analysis of the Leed Certifiable Standard in the Boston Zoning Code. Dans: Journal of Green Building, v. 9, n. 3 (octobre 2014). (2014):
- Ever Green: a Post-occupancy Building Performance Analysis of Leed Certified Homes in New England. Dans: Journal of Green Building, v. 6, n. 4 (novembre 2011). (2011):
- Net Zero Energy Homes: An Evaluation of Two Homes in the Northeastern United States. Dans: Journal of Green Building, v. 5, n. 2 (mai 2010). (2010):
- An Analysis of LEED and BREEAM Assessment Methods for Educational Institutions. Dans: Journal of Green Building, v. 5, n. 1 (février 2010). (2010):
- Predicting water consumption from energy data: Modeling the residential energy and water nexus in the integrated urban metabolism analysis tool (IUMAT). Dans: Energy and Buildings, v. 158 (janvier 2018). (2018):
- Evaluation of current and future hourly weather data intended for building designs: A Philadelphia case study. Dans: Energy and Buildings, v. 199 (septembre 2019). (2019):
- Urban residential energy consumption modeling in the Integrated Urban Metabolism Analysis Tool (IUMAT). Dans: Building and Environment, v. 114 (mars 2017). (2017):
- A framework for integrated urban metabolism analysis tool (IUMAT). Dans: Building and Environment, v. 82 (décembre 2014). (2014):
- (2015): Building to Net Zero in the Developing World. Dans: Buildings, v. 5, n. 1 (janvier 2015).
- (2019): An Overview of Climate Change and Building Energy: Performance, Responses and Uncertainties. Dans: Buildings, v. 9, n. 7 (juillet 2019).