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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Mussawar, Osama / Mayyas, Ahmad / Azar, Elie (2024): Energy storage enabling renewable energy communities: An urban context-aware approach and case study using agent-based modeling and optimization. Dans: Sustainable Cities and Society, v. 115 (novembre 2024).

    https://doi.org/10.1016/j.scs.2024.105813

  2. Markarian, Elin / Qiblawi, Seif / Krishnan, Shivram / Divakaran, Anagha / Ramalingam Rethnam, Omprakash / Thomas, Albert / Azar, Elie: Informing building retrofits at low computational costs: a multi-objective optimisation using machine learning surrogates of building performance simulation models. Dans: Journal of Building Performance Simulation.

    https://doi.org/10.1080/19401493.2024.2384487

  3. Jeksen, Janar / Mayyas, Ahmad / Azar, Elie (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. Dans: Energy and Buildings, v. 319 (septembre 2024).

    https://doi.org/10.1016/j.enbuild.2024.114486

  4. 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. Dans: Journal of Building Engineering, v. 91 (août 2024).

    https://doi.org/10.1016/j.jobe.2024.109655

  5. 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. Dans: Building and Environment, v. 252 (mars 2024).

    https://doi.org/10.1016/j.buildenv.2024.111268

  6. 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. Dans: Sustainable Cities and Society, v. 99 (décembre 2023).

    https://doi.org/10.1016/j.scs.2023.104957

  7. Alaifan, Bader / Azar, Elie (2023): Potential for Net-Zero Energy Communities in Kuwait: An Empirical Techno-Economic Modeling and Optimization Approach. Dans: Buildings, v. 13, n. 8 (2 août 2023).

    https://doi.org/10.3390/buildings13082096

  8. 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. Dans: Sustainable Cities and Society, v. 96 (septembre 2023).

    https://doi.org/10.1016/j.scs.2023.104660

  9. 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. Dans: Energy and Buildings, v. 286 (mai 2023).

    https://doi.org/10.1016/j.enbuild.2023.112940

  10. 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. Dans: Journal of Building Performance Simulation, v. 15, n. 5 (29 juin 2022).

    https://doi.org/10.1080/19401493.2022.2061050

  11. 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. Dans: Building and Environment, v. 219 (juillet 2022).

    https://doi.org/10.1016/j.buildenv.2022.109195

  12. Malik, Jeetika / Azar, Elie / Mahdavi, Ardeshir / Hong, Tianzhen (2022): A level-of-details framework for representing occupant behavior in agent-based models. Dans: Automation in Construction, v. 139 (juillet 2022).

    https://doi.org/10.1016/j.autcon.2022.104290

  13. 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. Dans: Journal of Computing in Civil Engineering, v. 36, n. 4 (juillet 2022).

    https://doi.org/10.1061/(asce)cp.1943-5487.0001028

  14. Alamirah, Haneen / Schweiker, Marcel / Azar, Elie (2022): Immersive virtual environments for occupant comfort and adaptive behavior research – A comprehensive review of tools and applications. Dans: Building and Environment, v. 207 (janvier 2022).

    https://doi.org/10.1016/j.buildenv.2021.108396

  15. 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. Dans: Journal of Management in Engineering (ASCE), v. 37, n. 4 (juillet 2021).

    https://doi.org/10.1061/(asce)me.1943-5479.0000923

  16. 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. Dans: Sustainable Cities and Society, v. 56 (mai 2020).

    https://doi.org/10.1016/j.scs.2019.101987

  17. Andargie, Maedot S. / Azar, Elie (2019): An applied framework to evaluate the impact of indoor office environmental factors on occupants’ comfort and working conditions. Dans: Sustainable Cities and Society, v. 46 (avril 2019).

    https://doi.org/10.1016/j.scs.2019.101447

  18. Papadopoulos, Sokratis / Azar, Elie / Woon, Wei-Lee / Kontokosta, Constantine E. (2017): Evaluation of tree-based ensemble learning algorithms for building energy performance estimation. Dans: Journal of Building Performance Simulation, v. 11, n. 3 (septembre 2017).

    https://doi.org/10.1080/19401493.2017.1354919

  19. 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. Dans: Energy and Buildings, v. 234 (mars 2021).

    https://doi.org/10.1016/j.enbuild.2020.110667

  20. Azar, Elie / Menassa, Carol C. (2012): A comprehensive analysis of the impact of occupancy parameters in energy simulation of office buildings. Dans: Energy and Buildings, v. 55 (décembre 2012).

    https://doi.org/10.1016/j.enbuild.2012.10.002

  21. Azar, Elie / Menassa, Carol C. (2015): Evaluating the impact of extreme energy use behavior on occupancy interventions in commercial buildings. Dans: Energy and Buildings, v. 97 (juin 2015).

    https://doi.org/10.1016/j.enbuild.2015.03.059

  22. 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. Dans: Energy and Buildings, v. 128 (septembre 2016).

    https://doi.org/10.1016/j.enbuild.2016.06.079

  23. Barbosa, Juan David / Azar, Elie (2018): Modeling and implementing human-based energy retrofits in a green building in desert climate. Dans: Energy and Buildings, v. 173 (août 2018).

    https://doi.org/10.1016/j.enbuild.2018.05.024

  24. 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?. Dans: Energy and Buildings, v. 211 (mars 2020).

    https://doi.org/10.1016/j.enbuild.2020.109761

  25. 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. Dans: Building and Environment, v. 179 (juillet 2020).

    https://doi.org/10.1016/j.buildenv.2020.106906

  26. Azar, Elie / Menassa, Carol C. (2012): Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings. Dans: Journal of Computing in Civil Engineering, v. 26, n. 4 (juillet 2012).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000158

  27. Azar, Elie / Menassa, Carol C. (2014): Framework to Evaluate Energy-Saving Potential from Occupancy Interventions in Typical Commercial Buildings in the United States. Dans: Journal of Computing in Civil Engineering, v. 28, n. 1 (janvier 2014).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000318

  28. 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. Dans: Journal of Computing in Civil Engineering, v. 28, n. 1 (janvier 2014).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000299

  29. Azar, Elie / Menassa, Carol C. (2016): Optimizing the Performance of Energy-Intensive Commercial Buildings: Occupancy-Focused Data Collection and Analysis Approach. Dans: Journal of Computing in Civil Engineering, v. 30, n. 5 (septembre 2016).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000521

  30. Azar, Elie / Al Ansari, Hamad (2017): Multilayer Agent-Based Modeling and Social Network Framework to Evaluate Energy Feedback Methods for Groups of Buildings. Dans: Journal of Computing in Civil Engineering, v. 31, n. 4 (juillet 2017).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000651

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