Elie Azar 
- (2024): Energy storage enabling renewable energy communities: An urban context-aware approach and case study using agent-based modeling and optimization. In: Sustainable Cities and Society, v. 115 (November 2024).
- : Informing building retrofits at low computational costs: a multi-objective optimisation using machine learning surrogates of building performance simulation models. In: Journal of Building Performance Simulation.
- (2024): Impact of uncertainty in building operation patterns and electric energy demand on the design and techno-economic performance of solar photovoltaic systems in different climates. In: Energy and Buildings, v. 319 (September 2024).
- (2024): Heat exposure mitigation in renovated nearly zero-energy dwellings during concurrent heat waves and power outages. In: Journal of Building Engineering, v. 91 (August 2024).
- (2024): A comparative analysis of machine learning and statistical methods for evaluating building performance: A systematic review and future benchmarking framework. In: Building and Environment, v. 252 (March 2024).
- (2023): Performance and prospects of urban energy communities conditioned by the built form and function: A systematic investigation using agent-based modeling. In: Sustainable Cities and Society, v. 99 (December 2023).
- (2023): Potential for Net-Zero Energy Communities in Kuwait: An Empirical Techno-Economic Modeling and Optimization Approach. In: Buildings, v. 13, n. 8 (2 August 2023).
- (2023): Built Form and Function as Determinants of Urban Energy Performance: An Integrated Agent-based Modeling Approach and Case Study. In: Sustainable Cities and Society, v. 96 (September 2023).
- (2023): Machine learning as a surrogate to building performance simulation: Predicting energy consumption under different operational settings. In: Energy and Buildings, v. 286 (May 2023).
- (2022): Documenting occupant models for building performance simulation: a state-of-the-art. In: Journal of Building Performance Simulation, v. 15, n. 5 (29 June 2022).
- (2022): A guideline to document occupant behavior models for advanced building controls. In: Building and Environment, v. 219 (July 2022).
- (2022): A level-of-details framework for representing occupant behavior in agent-based models. In: Automation in Construction, v. 139 (July 2022).
- (2022): Demographics as Determinants of Building Occupants’ Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach. In: Journal of Computing in Civil Engineering, v. 36, n. 4 (July 2022).
- (2022): Immersive virtual environments for occupant comfort and adaptive behavior research – A comprehensive review of tools and applications. In: Building and Environment, v. 207 (January 2022).
- (2021): Multidomain Drivers of Occupant Comfort, Productivity, and Well-Being in Buildings: Insights from an Exploratory and Explanatory Analysis. In: Journal of Management in Engineering (ASCE), v. 37, n. 4 (July 2021).
- (2020): Effect of densification and compactness on urban building energy consumption: Case of a Transit-Oriented Development in Dallas, TX. In: Sustainable Cities and Society, v. 56 (May 2020).
- (2019): An applied framework to evaluate the impact of indoor office environmental factors on occupants’ comfort and working conditions. In: Sustainable Cities and Society, v. 46 (April 2019).
- (2017): Evaluation of tree-based ensemble learning algorithms for building energy performance estimation. In: Journal of Building Performance Simulation, v. 11, n. 3 (September 2017).
- (2021): Day-ahead prediction of plug-in loads using a long short-term memory neural network. In: Energy and Buildings, v. 234 (March 2021).
- (2012): A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. In: Energy and Buildings, v. 55 (December 2012).
- (2015): Evaluating the impact of extreme energy use behavior on occupancy interventions in commercial buildings. In: Energy and Buildings, v. 97 (June 2015).
- (2016): Integrating building performance simulation in agent-based modeling using regression surrogate models: A novel human-in-the-loop energy modeling approach. In: Energy and Buildings, v. 128 (September 2016).
- (2018): Modeling and implementing human-based energy retrofits in a green building in desert climate. In: Energy and Buildings, v. 173 (August 2018).
- (2020): Evaluating assumptions of scales for subjective assessment of thermal environments – Do laypersons perceive them the way, we researchers believe?. In: Energy and Buildings, v. 211 (March 2020).
- (2020): An international review of occupant-related aspects of building energy codes and standards. In: Building and Environment, v. 179 (July 2020).
- (2012): Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings. In: Journal of Computing in Civil Engineering, v. 26, n. 4 (July 2012).
- (2014): Framework to Evaluate Energy-Saving Potential from Occupancy Interventions in Typical Commercial Buildings in the United States. In: Journal of Computing in Civil Engineering, v. 28, n. 1 (January 2014).
- (2014): Conceptual Framework to Optimize Building Energy Consumption by Coupling Distributed Energy Simulation and Occupancy Models. In: Journal of Computing in Civil Engineering, v. 28, n. 1 (January 2014).
- (2016): Optimizing the Performance of Energy-Intensive Commercial Buildings: Occupancy-Focused Data Collection and Analysis Approach. In: Journal of Computing in Civil Engineering, v. 30, n. 5 (September 2016).
- (2017): Multilayer Agent-Based Modeling and Social Network Framework to Evaluate Energy Feedback Methods for Groups of Buildings. In: Journal of Computing in Civil Engineering, v. 31, n. 4 (July 2017).
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