フォロー
Elie Azar
Elie Azar
Canada Research Chair & Associate Professor at Carleton University
確認したメール アドレス: carleton.ca - ホームページ
タイトル
引用先
引用先
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
3552012
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
3352012
Review of multi‐domain approaches to indoor environmental perception and behaviour
M Schweiker, E Ampatzi, MS Andargie, RK Andersen, E Azar, ...
Building and Environment 176, 106804, 2020
2392020
A systematic review of occupant behavior in building energy policy
S Hu, D Yan, E Azar, F Guo
Building and Environment 175, 106807, 2020
1762020
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
1602019
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
1412018
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
1392014
An international review of occupant-related aspects of building energy codes and standards
W O'Brien, F Tahmasebi, RK Andersen, E Azar, V Barthelmes, ZD Belafi, ...
Building and environment 179, 106906, 2020
1302020
Evaluating assumptions of scales for subjective assessment of thermal environments–Do laypersons perceive them the way, we researchers believe?
M Schweiker, M André, F Al-Atrash, H Al-Khatri, RR Alprianti, H Alsaad, ...
Energy and Buildings 211, 109761, 2020
1252020
Simulation-aided occupant-centric building design: A critical review of tools, methods, and applications
E Azar, W O'Brien, S Carlucci, T Hong, A Sonta, J Kim, MS Andargie, ...
Energy and Buildings 224, 110292, 2020
1212020
Multilayer thin film structures for multifunctional glass: Self-cleaning, antireflective and energy-saving properties
C Garlisi, E Trepci, X Li, R Al Sakkaf, K Al-Ali, RP Nogueira, L Zheng, ...
Applied energy 264, 114697, 2020
1142020
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
1102019
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
1052017
The role of occupants in buildings’ energy performance gap: myth or reality?
A Mahdavi, C Berger, H Amin, E Ampatzi, RK Andersen, E Azar, ...
Sustainability 13 (6), 3146, 2021
1002021
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
912016
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
852016
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
752018
Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review
B Dong, Y Liu, H Fontenot, M Ouf, M Osman, A Chong, S Qin, F Salim, ...
Applied Energy 293, 116856, 2021
732021
Occupant-centric miscellaneous electric loads prediction in buildings using state-of-the-art deep learning methods
A Das, MK Annaqeeb, E Azar, V Novakovic, MB Kjærgaard
Applied Energy 269, 115135, 2020
732020
A global building occupant behavior database
B Dong, Y Liu, W Mu, Z Jiang, P Pandey, T Hong, B Olesen, T Lawrence, ...
Scientific data 9 (1), 369, 2022
702022
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