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Amaripadath, Deepak / Azar, Elie / Singh, Manoj Kumar / Attia, Shady (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).
https://doi.org/10.1016/j.jobe.2024.109655
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Ali, Abdulrahim / Jayaraman, Raja / Azar, Elie / Maalouf, Maher (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 (März 2024).
https://doi.org/10.1016/j.buildenv.2024.111268
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Mussawar, Osama / Rajeevkumar Urs, Rahul / Mayyas, Ahmad / Azar, Elie (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 (Dezember 2023).
https://doi.org/10.1016/j.scs.2023.104957
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Alaifan, Bader / Azar, Elie (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).
https://doi.org/10.3390/buildings13082096
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Mussawar, Osama / Mayyas, Ahmad / Azar, Elie (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).
https://doi.org/10.1016/j.scs.2023.104660
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Ali, Abdulrahim / Jayaraman, Raja / Mayyas, Ahmad / Alaifan, Bader / Azar, Elie (2023): Machine learning as a surrogate to building performance simulation: Predicting energy consumption under different operational settings. In: Energy and Buildings, v. 286 (Mai 2023).
https://doi.org/10.1016/j.enbuild.2023.112940
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Chinazzo, Giorgia / Andersen, Rune Korsholm / Azar, Elie / Barthelmes, Verena M. / Becchio, Cristina / Belussi, Lorenzo / Berger, Christiane / Carlucci, Salvatore / Corgnati, Stefano Paolo / Crosby, Sarah / Danza, Ludovico / de Castro, Luiza / Favero, Matteo / Gauthier, Stephanie / Hellwig, Runa T. / Jin, Quan / Kim, Joyce / Sarey Khanie, Mandana / Khovalyg, Dolaana / Lingua, Carola / Luna-Navarro, Alessandra / Mahdavi, Ardeshir / Miller, Clayton / Miño-Rodríguez, Isabel / Pigliautile, Ilaria / Pisello, Anna Laura / Rupp, Ricardo Forgiarini / Sadick, Abdul-Manan / Salamone, Francesco / Schweiker, Marcel / Syndicus, Marc / Spigliantini, Giorgia / Vásquez, Natalia Giraldo / Vakalis, Donna / Vellei, Marika / Wei, Shen (2022): Quality criteria for multi-domain studies in the indoor environment: Critical review towards research guidelines and recommendations. In: Building and Environment, v. 226 (Dezember 2022).
https://doi.org/10.1016/j.buildenv.2022.109719
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Vellei, Marika / Azar, Elie / Bandurski, Karol / Berger, Christiane / Carlucci, Salvatore / Dong, Bing / Favero, Matteo / Mahdavi, Ardeshir / Schweiker, Marcel (2022): Documenting occupant models for building performance simulation: a state-of-the-art. In: Journal of Building Performance Simulation, v. 15, n. 5 (29 Juni 2022).
https://doi.org/10.1080/19401493.2022.2061050
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Dong, Bing / Markovic, Romana / Carlucci, Salvatore / Liu, Yapan / Wagner, Andreas / Liguori, Antonio / van Treeck, Christoph / Oleynikov, Dmitry / Azar, Elie / Fajilla, Gianmarco / Drgoňa, Ján / Kim, Joyce / Vellei, Marika / De Simone, Marilena / Shamsaiee, Masood / Bavaresco, Mateus / Favero, Matteo / Kjaergaard, Mikkel / Osman, Mohamed / Frahm, Moritz / Dabirian, Sanam / Yan, Da / Kang, Xuyuan (2022): A guideline to document occupant behavior models for advanced building controls. In: Building and Environment, v. 219 (Juli 2022).
https://doi.org/10.1016/j.buildenv.2022.109195
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Malik, Jeetika / Azar, Elie / Mahdavi, Ardeshir / Hong, Tianzhen (2022): A level-of-details framework for representing occupant behavior in agent-based models. In: Automation in Construction, v. 139 (Juli 2022).
https://doi.org/10.1016/j.autcon.2022.104290
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Ali, Abdulrahim / Lin, Min / Andargie, Maedot S. / Azar, Elie (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 (Juli 2022).
https://doi.org/10.1061/(asce)cp.1943-5487.0001028
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Alamirah, Haneen / Schweiker, Marcel / Azar, Elie (2022): Immersive virtual environments for occupant comfort and adaptive behavior research – A comprehensive review of tools and applications. In: Building and Environment, v. 207 (Januar 2022).
https://doi.org/10.1016/j.buildenv.2021.108396
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Lin, Min / Ali, Abdulrahim / Andargie, Maedot S. / Azar, Elie (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 (Juli 2021).
https://doi.org/10.1061/(asce)me.1943-5479.0000923
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Trepci, Esra / Maghelal, Praveen / Azar, Elie (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 (Mai 2020).
https://doi.org/10.1016/j.scs.2019.101987
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Andargie, Maedot S. / Azar, Elie (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).
https://doi.org/10.1016/j.scs.2019.101447
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Papadopoulos, Sokratis / Azar, Elie / Woon, Wei-Lee / Kontokosta, Constantine E. (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).
https://doi.org/10.1080/19401493.2017.1354919
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Markovic, Romana / Azar, Elie / Annaqeeb, Masab Khalid / Frisch, Jérôme / van Treeck, Christoph (2021): Day-ahead prediction of plug-in loads using a long short-term memory neural network. In: Energy and Buildings, v. 234 (März 2021).
https://doi.org/10.1016/j.enbuild.2020.110667
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Azar, Elie / Menassa, Carol C. (2012): A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. In: Energy and Buildings, v. 55 (Dezember 2012).
https://doi.org/10.1016/j.enbuild.2012.10.002
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Azar, Elie / Menassa, Carol C. (2015): Evaluating the impact of extreme energy use behavior on occupancy interventions in commercial buildings. In: Energy and Buildings, v. 97 (Juni 2015).
https://doi.org/10.1016/j.enbuild.2015.03.059
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Papadopoulos, Sokratis / Azar, Elie (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).
https://doi.org/10.1016/j.enbuild.2016.06.079
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Barbosa, Juan David / Azar, Elie (2018): Modeling and implementing human-based energy retrofits in a green building in desert climate. In: Energy and Buildings, v. 173 (August 2018).
https://doi.org/10.1016/j.enbuild.2018.05.024
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Schweiker, Marcel / André, Maíra / Al-Atrash, Farah / Al-Khatri, Hanan / Alprianti, Rea Risky / Alsaad, Hayder / Amin, Rucha / Ampatzi, Eleni / Arsano, Alpha Yacob / Azar, Elie / Bannazadeh, Bahareh / Batagarawa, Amina / Becker, Susanne / Buonocore, Carolina / Cao, Bin / Choi, Joon-Ho / Chun, Chungyoon / Daanen, Hein / Damiati, Siti Aisyah / Daniel, Lyrian / De Vecchi, Renata / Dhaka, Shivraj / Domínguez-Amarillo, Samuel / Dudkiewicz, Edyta / Edappilly, Lakshmi Prabha / Fernández-Agüera, Jesica / Folkerts, Mireille / Frijns, Arjan / Gaona, Gabriel / Garg, Vishal / Gauthier, Stephanie / Jabbari, Shahla Ghaffari / Harimi, Djamila / Hellwig, Runa T. / Huebner, Gesche M. / Jin, Quan / Jowkar, Mina / Kim, Jungsoo / King, Nelson / Kingma, Boris / Koerniawan, M. Donny / Kolarik, Jakub / Kumar, Shailendra / Kwok, Alison / Lamberts, Roberto / Laska, Marta / Lee, M. C. Jeffrey / Lee, Yoonhee / Lindermayr, Vanessa / Mahaki, Mohammadbagher / Marcel-Okafor, Udochukwu / Marín-Restrepo, Laura / Marquardsen, Anna / Mar (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 (März 2020).
https://doi.org/10.1016/j.enbuild.2020.109761
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O'Brien, William / Tahmasebi, Farhang / Andersen, Rune Korsholm / Azar, Elie / Barthelmes, Verena / Deme Belafi, Zsofia / Berger, Christiane / Chen, Dong / De Simone, Marilena / D'Oca, Simona / Hong, Tianzhen / Jin, Quan / Khovalyg, Dolaana / Lamberts, Roberto / Novakovic, Vojislav / Park, June Young / Plagmann, Manfred / Rajus, Vinu Subashini / Vellei, Marika / Verbruggen, Silke / Wagner, Andreas / Willems, Eric / Yan, Da / Zhou, Jin (2020): An international review of occupant-related aspects of building energy codes and standards. In: Building and Environment, v. 179 (Juli 2020).
https://doi.org/10.1016/j.buildenv.2020.106906
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Papadopoulos, Sokratis / Kontokosta, Constantine E. / Vlachokostas, Alex / Azar, Elie (2019): Rethinking HVAC temperature setpoints in commercial buildings: The potential for zero-cost energy savings and comfort improvement in different climates. In: Building and Environment, v. 155 (Mai 2019).
https://doi.org/10.1016/j.buildenv.2019.03.062
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Honek, Kenneth / Azar, Elie / Menassa, Carol C. (2012): Recession Effects in United States Public Sector Construction Contracting: Focus on the American Recovery and Reinvestment Act of 2009. In: Journal of Management in Engineering (ASCE), v. 28, n. 4 (Oktober 2012).
https://doi.org/10.1061/(asce)me.1943-5479.0000075
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Azar, Elie / Menassa, Carol C. (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 (Juli 2012).
https://doi.org/10.1061/(asce)cp.1943-5487.0000158
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Azar, Elie / Menassa, Carol C. (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 (Januar 2014).
https://doi.org/10.1061/(asce)cp.1943-5487.0000318
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Menassa, Carol C. / Kamat, Vineet R. / Lee, SangHyun / Azar, Elie / Feng, Chen / Anderson, Kyle (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 (Januar 2014).
https://doi.org/10.1061/(asce)cp.1943-5487.0000299
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Azar, Elie / Menassa, Carol C. (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).
https://doi.org/10.1061/(asce)cp.1943-5487.0000521
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Azar, Elie / Al Ansari, Hamad (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 (Juli 2017).
https://doi.org/10.1061/(asce)cp.1943-5487.0000651