Elie Azar
Elie Azar
Associate Professor at Khalifa University
Verified email at ku.ac.ae
Title
Cited by
Cited by
Year
A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings
E Azar, CC Menassa
Energy and buildings 55, 841-853, 2012
2472012
Agent-based modeling of occupants and their impact on energy use in commercial buildings
E Azar, CC Menassa
Journal of Computing in Civil Engineering 26 (4), 506-518, 2012
2402012
A comprehensive framework to quantify energy savings potential from improved operations of commercial building stocks
E Azar, CC Menassa
Energy Policy 67, 459-472, 2014
882014
Framework to evaluate energy-saving potential from occupancy interventions in typical commercial buildings in the United States
E Azar, CC Menassa
Journal of Computing in Civil Engineering 28 (1), 63-78, 2014
522014
A conceptual framework to energy estimation in buildings using agent based modeling
E Azar, C Menassa
Proceedings of the 2010 Winter Simulation Conference, 3145-3156, 2010
472010
Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling
E Azar, C Nikolopoulou, S Papadopoulos
Applied Energy 183, 926-937, 2016
442016
Framework to investigate energy conservation motivation and actions of building occupants: The case of a green campus in Abu Dhabi, UAE
E Azar, H Al Ansari
Applied energy 190, 563-573, 2017
422017
Evaluating the impact of extreme energy use behavior on occupancy interventions in commercial buildings
E Azar, CC Menassa
Energy and Buildings 97, 205-218, 2015
422015
Integrating building performance simulation in agent-based modeling using regression surrogate models: A novel human-in-the-loop energy modeling approach
S Papadopoulos, E Azar
Energy and Buildings 128, 214-223, 2016
402016
Evaluation of tree-based ensemble learning algorithms for building energy performance estimation
S Papadopoulos, E Azar, WL Woon, CE Kontokosta
Journal of Building Performance Simulation 11 (3), 322-332, 2018
332018
Conceptual framework to optimize building energy consumption by coupling distributed energy simulation and occupancy models
CC Menassa, VR Kamat, SH Lee, E Azar, C Feng, K Anderson
Journal of Computing in Civil Engineering 28 (1), 50-62, 2014
312014
Rethinking HVAC temperature setpoints in commercial buildings: The potential for zero-cost energy savings and comfort improvement in different climates
S Papadopoulos, CE Kontokosta, A Vlachokostas, E Azar
Building and Environment 155, 350-359, 2019
262019
Optimizing HVAC operation in commercial buildings: a genetic algorithm multi-objective optimization framework
S Papadopoulos, E Azar
2016 Winter Simulation Conference (WSC), 1725-1735, 2016
222016
Optimizing the performance of energy-intensive commercial buildings: Occupancy-focused data collection and analysis approach
E Azar, CC Menassa
Journal of Computing in Civil Engineering 30 (5), C4015002, 2016
222016
A data-driven analysis of building energy use with emphasis on operation and maintenance: A case study from the UAE
M Lin, A Afshari, E Azar
Journal of Cleaner Production 192, 169-178, 2018
212018
Recession effects in United States public sector construction contracting: Focus on the American Recovery and Reinvestment Act of 2009
K Honek, E Azar, CC Menassa
Journal of Management in Engineering 28 (4), 354-361, 2012
202012
An applied framework to evaluate the impact of indoor office environmental factors on occupants’ comfort and working conditions
MS Andargie, E Azar
Sustainable Cities and Society 46, 101447, 2019
182019
An agent-based approach to model the effect of occupants' energy use characteristics in commercial buildings
E Azar, C Menassa
Computing in Civil Engineering (2011), 536-543, 2011
182011
A systematic review of occupant behavior in building energy policy
S Hu, D Yan, E Azar, F Guo
Building and Environment, 106807, 2020
162020
A decision framework for energy use reduction initiatives in commercial buildings
E Azar, CC Menassa
Proceedings of the 2011 Winter Simulation Conference (WSC), 816-827, 2011
162011
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Articles 1–20