· Acosta, I., Campano, M. Á., Leslie, R., & Radetsky, L. (2019). Daylighting design for healthy environments: Analysis of educational spaces for optimal circadian stimulus. Solar Energy, 193, 584–596.
https://doi.org/10.1016/j.solener.2019.10.004
· Ahadi, A. A., & Khanmohamadi, M. A. (2015). Better performance of students by proper utilization of daylight in classrooms, Case study: The Architecture School, Iran University of Science and Technology. Journal of Architecture and Urban Planning, 8(15), 25–42.
https://doi.org/10.30480/aup.2015.9
· Ahangari, M., & Maerefat, M. (2019). An innovative PCM system for thermal comfort improvement and energy demand reduction in building under different climate conditions. Sustainable Cities and Society, 44, 120–129.
https://doi.org/10.1016/j.scs.2018.09.008
· Ahmad, A., Prakash, O., Kumar, A., Hasnain, S. M., Verma, P., Zare, A., Dwivedi, G., & Pandey, A. (2022). Dynamic analysis of daylight factor, thermal comfort and energy performance under clear sky conditions for building: An experimental validation. Materials Science for Energy Technologies, 5, 52–65.
https://doi.org/10.1016/j.mset.2021.11.003
· Ahmadnejad, F., Molaei, N., Haghighi, F. M., ValiollahPour, H., & Ghadiri, R. (2022). Optimization of windows to enhance daylight and thermal performance based on genetic algorithm — Case study: A residential building with a common plan in Tabriz, Iran. Sustainable Operations and Insights Journal, 11(3), 33–44.
https://doi.org/10.22094/soij.2022.1951323.1478
· Alam, M., & Devjani, M. R. (2021). Analyzing energy consumption patterns of an educational building through data mining. Journal of Building Engineering, 44, 103385.
https://doi.org/10.1016/j.jobe.2021.103385
· Aldhshan, S. R. S., Abdul Maulud, K. N., Wan Mohd Jaafar, W. S., Karim, O. A., & Pradhan, B. (2021). Energy consumption and spatial assessment of renewable energy penetration and building energy efficiency in Malaysia: A review. Sustainability, 13(16), 9244.
https://doi.org/10.3390/su13169244
· Alfano, F. R. d. A., Ianniello, E., & Palella, B. I. (2013). PMV–PPD and acceptability in naturally ventilated schools. Building and Environment, 67, 129–137.
https://doi.org/10.1016/j.buildenv.2013.05.013
· Allab, Y., Pellegrino, M., Guo, X., Nefzaoui, E., & Kindinis, A. (2017). Energy and comfort assessment in educational building: Case study in a French university campus. Energy and Buildings, 143, 202–219.
https://doi.org/10.1016/j.enbuild.2016.11.028
· Alwetaishi, M. S. (2016). Impact of building function on thermal comfort: A review paper. American Journal of Engineering and Applied Sciences, 9(4), 928–945.
https://doi.org/10.3844/ajeassp.2016.928.945
· Anand, P., Sekhar, C., Cheong, D., Santamouris, M., & Kondepudi, S. (2019). Occupancy-based zone-level VAV system control implications on thermal comfort, ventilation, indoor air quality and building energy efficiency. Energy and Buildings, 204, 109473.
https://doi.org/10.1016/j.enbuild.2019.109473
· Anđelković, A. S., Kljajić, M., Macura, D., Munćan, V., Mujan, I., Tomić, M., Vlaović, Ž., & Stepanov, B. (2021). Building energy performance certificate, A relevant indicator of actual energy consumption and savings? Energies, 14(12), 3455.
https://doi.org/10.3390/en14123455
· Arabi, S., & Grau, D. (2024). Automated underground water leakage detection with machine learning analysis of satellite imagery. In Construction Research Congress 2024.
https://doi.org/10.1061/9780784485279.074
· Ascione, F., Bianco, N., Iovane, T., Mastellone, M., & Mauro, G. M. (2021). The evolution of building energy retrofit via double-skin and responsive façades: A review. Solar Energy, 224, 703–717.
https://doi.org/10.1016/j.solener.2021.06.035
· Ashrafian, T., & Moazzen, N. (2019). The impact of glazing ratio and window configuration on occupants' comfort and energy demand: The case study of a school building in Eskisehir, Turkey. Sustainable Cities and Society, 47, 101483.
https://doi.org/10.1016/j.scs.2019.101483
· Awang, M., Ruddin, N. M. B., Rahman, M. A. A., Hamidon, N., Ahmad, F., Musa, K., Nagapan, S., & Rahman, M. S. A. (2020). Assessment of energy saving potential and lighting system in teaching building. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 65(1), 159–169.
· Bakmohammadi, P., & Noorzai, E. (2020). Optimization of the design of the primary school classrooms in terms of energy and daylight performance considering occupants' thermal and visual comfort. Energy Reports, 6, 1590–1607.
https://doi.org/10.1016/j.egyr.2020.06.008
· Barbhuiya, S., & Barbhuiya, S. (2013). Thermal comfort and energy consumption in a UK educational building. Building and Environment, 68, 1–11.
https://doi.org/10.1016/j.buildenv.2013.06.002
· Brager, G. S., & De Dear, R. J. (2003). Historical and cultural influences on comfort expectations. In Buildings, culture and environment: Informing local and global practices (pp. 177–201). Blackwell.
· Brandi, S., Piscitelli, M. S., Martellacci, M., & Capozzoli, A. (2020). Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings. Energy and Buildings, 224, 110225.
https://doi.org/10.1016/j.enbuild.2020.110225
· Chegari, B., Tabaa, M., Simeu, E., Moutaouakkil, F., & Medromi, H. (2021). Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms. Energy and Buildings, 239, 110839.
https://doi.org/10.1016/j.enbuild.2021.110839
· Crawley, D. B., & Barnaby, C. S. (2019). Weather and climate in building performance simulation. In J. L. M. Hensen & R. Lamberts (Eds.), Building performance simulation for design and operation (2nd ed., pp. 191–220). Routledge.
· De Dear, R. J., & Brager, G. S. (2002). Thermal comfort in naturally ventilated buildings: Revisions to ASHRAE Standard 55. Energy and Buildings, 34(6), 549–561.
https://doi.org/10.1016/S0378-7788(02)00005-1
· de la Hoz-Torres, M. L., Aguilar, A. J., Ruiz, D. P., & Martínez-Aires, M. D. (2024). An investigation of indoor thermal environments and thermal comfort in naturally ventilated educational buildings. Journal of Building Engineering, 84, 108677.
https://doi.org/10.1016/j.jobe.2024.108677
· de León, A. E. D. (2010). National building code of India and the international building code: An introduction. In Indo-US forensic practices: Investigation techniques and technology (pp. 111–120).
· de Lima Montenegro Duarte, J. G. C., Zemero, B. R., de Souza, A. C. D. B., de Lima Tostes, M. E., & Bezerra, U. H. (2021). Building Information Modeling approach to optimize energy efficiency in educational buildings. Journal of Building Engineering, 43, 102587.
https://doi.org/10.1016/j.jobe.2021.102587
· Deng, W., Zhang, X., Zhou, Y., Liu, Y., Zhou, X., Chen, H., & Zhao, H. (2022). An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems. Information Sciences, 585, 441–453.
https://doi.org/10.1016/j.ins.2021.11.052
· Dugaria, S., Pernigotto, G., & Gasparella, A. (2023). Indoor conditions in educational buildings: The case of Bolzano schools [Conference paper].
· Elghamry, R., & Hassan, H. (2020). Impact of window parameters on the building envelope on the thermal comfort, energy consumption and cost and environment. International Journal of Ventilation, 19(4), 233–259.
https://doi.org/10.1080/14733315.2019.1665784
· Fabbri, K. (2024). The indoor thermal comfort indexes PMV and PPD. In Thermal comfort perception: A questionnaire approach focusing on children (pp. 83–135). Springer.
· Fang, Y., Luo, X., & Lu, J. (2023). A review of research on the impact of the classroom physical environment on schoolchildren's health. Journal of Building Engineering, 65, 105430.
https://doi.org/10.1016/j.jobe.2022.105430
· Franco, A., & Leccese, F. (2020). Measurement of CO2 concentration for occupancy estimation in educational buildings with energy efficiency purposes. Journal of Building Engineering, 32, 101714.
https://doi.org/10.1016/j.jobe.2020.101714
· Freewan, A. A. (2014). Impact of external shading devices on thermal and daylighting performance of offices in hot climate regions. Solar Energy, 102, 14–30.
https://doi.org/10.1016/j.solener.2014.01.009
· Gagnon, R., Gosselin, L., & Decker, S. (2018). Sensitivity analysis of energy performance and thermal comfort throughout building design process. Energy and Buildings, 164, 278–294.
https://doi.org/10.1016/j.enbuild.2017.12.066
· Garip, S. B., Güzelci, O. Z., Garip, E., & Kocabay, S. (2024). A genetic algorithm-based design model to provide reduced risk areas for housing interiors. Construction Innovation, 24(1), 49–66.
https://doi.org/10.1108/CI-12-2022-0334
· Hakimazari, M., Baghoolizadeh, M., Sajadi, S. M., Kheiri, P., Moghaddam, M. Y., Rostamzadeh-Renani, M., Rostamzadeh-Renani, R., & Hamooleh, M. B. (2024). Multi-objective optimization of daylight illuminance indicators and energy usage intensity for office space in Tehran by genetic algorithm. Energy Reports, 11, 3283–3306.
https://doi.org/10.1016/j.egyr.2024.03.011
· Han, S., Sun, Y., Wang, W., Xu, W., & Wei, W. (2023). Optimal design method for electrochromic window split-pane configuration to enhance building energy efficiency. Renewable Energy, 219, 119405.
https://doi.org/10.1016/j.renene.2023.119405
· Heidarzadeh, S., Mahdavinejad, M., & Habib, F. (2023). External shading and its effect on the energy efficiency of Tehran's office buildings. Environmental Progress & Sustainable Energy, 42(6), e14185.
https://doi.org/10.1002/ep.14185
· Heydari, A., Sadati, S. E., & Gharib, M. R. (2021). Effects of different window configurations on energy consumption in building: Optimization and economic analysis. Journal of Building Engineering, 35, 102099.
https://doi.org/10.1016/j.jobe.2020.102099
· Homod, R. Z., Sahari, K. S. M., Almurib, H. A., & Nagi, F. H. (2012). RLF and TS fuzzy model identification of indoor thermal comfort based on PMV/PPD. Building and Environment, 49, 141–153.
https://doi.org/10.1016/j.buildenv.2011.09.012
· Hoseinzadeh, P., Assadi, M. K., Heidari, S., Khalatbari, M., Saidur, R., & Sangin, H. (2021). Energy performance of building integrated photovoltaic high-rise building: Case study, Tehran, Iran. Energy and Buildings, 235, 110707.
https://doi.org/10.1016/j.enbuild.2020.110707
· Huang, Y., Niu, J.-l., & Chung, T.-m. (2014). Comprehensive analysis on thermal and daylighting performance of glazing and shading designs on office building envelope in cooling-dominant climates. Applied Energy, 134, 215–228.
https://doi.org/10.1016/j.apenergy.2014.07.100
· Jiao, Y., Yu, H., Yu, Y., Wang, Z., & Wei, Q. (2020). Adaptive thermal comfort models for homes for older people in Shanghai, China. Energy and Buildings, 215, 109918.
https://doi.org/10.1016/j.enbuild.2020.109918
· Kaihoul, A., Pitzalis, E., Sriti, L., Di Turi, S., & Amraoui, K. (2024). Enhancing thermal comfort assessment: A sensitivity study of PMV-PPD and adaptive models in an Algerian reference hotel across different climate zones. Indoor and Built Environment, 33(9), 1680–1704.
https://doi.org/10.1177/1420326X241266762
· Kamel, T. M., Khalil, A., Lakousha, M. M., Khalil, R., & Hamdy, M. (2024). Optimizing the view percentage, daylight autonomy, sunlight exposure, and energy use: Data-driven-based approach for maximum space utilization in residential building stock in hot climates. Energies, 17(3), 684.
https://doi.org/10.3390/en17030684
· Kangazian, A., & Emadian Razavi, S. Z. (2023). Multi-criteria evaluation of daylight control systems of office buildings considering daylighting, glare and energy consumption. Solar Energy, 263, 111928.
https://doi.org/10.1016/j.solener.2023.111928
· Katoch, S., Chauhan, S. S., & Kumar, V. (2021). A review on genetic algorithm: Past, present, and future. Multimedia Tools and Applications, 80(5), 8091–8126.
https://doi.org/10.1007/s11042-020-10139-6
· Khoshnoodmotlagh, S., Daneshi, A., Gharari, S., Verrelst, J., Mirzaei, M., & Omrani, H. (2021). Urban morphology detection and its linking with land surface temperature: A case study for Tehran Metropolis, Iran. Sustainable Cities and Society, 74, 103228.
https://doi.org/10.1016/j.scs.2021.103228
· Kim, D. D., & Suh, H. S. (2021). Heating and cooling energy consumption prediction model for high-rise apartment buildings considering design parameters. Energy for Sustainable Development, 61, 1–14.
https://doi.org/10.1016/j.esd.2021.01.001
· Kim, J., Hong, T., Jeong, J., Koo, C., & Jeong, K. (2016). An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption. Applied Energy, 169, 682–695.
https://doi.org/10.1016/j.apenergy.2016.02.032
· Kuwahara, R., Kim, H., & Sato, H. (2022). Evaluation of zero-energy building and use of renewable energy in renovated buildings: A case study in Japan. Buildings, 12(5), 561.
https://doi.org/10.3390/buildings12050561
· Lakhdari, K., Sriti, L., & Painter, B. (2021). Parametric optimization of daylight, thermal and energy performance of middle school classrooms, case of hot and dry regions. Building and Environment, 204, 108173.
https://doi.org/10.1016/j.buildenv.2021.108173
· Lamberti, G., Salvadori, G., Leccese, F., Fantozzi, F., & Bluyssen, P. M. (2021). Advancement on thermal comfort in educational buildings: Current issues and way forward. Sustainability, 13(18), 10315.
https://doi.org/10.3390/su131810315
· Lee, E. S., & Selkowitz, S. E. (1994). The design and evaluation of integrated envelope and lighting control strategies for commercial buildings [Report]. Lawrence Berkeley National Laboratory.
· Li, C., & Chen, Y. (2023). A multi-factor optimization method based on thermal comfort for building energy performance with natural ventilation. Energy and Buildings, 285, 112893.
https://doi.org/10.1016/j.enbuild.2023.112893
· Li, H., Yuan, Y., Wu, D., Fan, Y., & Jiang, F. (2024). Optimizing of architectural geometry and tubular daylight guidance system based on genetic algorithm to enhance daylighting and energy performance in underground office buildings. Journal of Building Engineering, 86, 108895.
https://doi.org/10.1016/j.jobe.2024.108895
· Lu, S., Wang, W., Lin, C., & Hameen, E. C. (2019). Data-driven simulation of a thermal comfort-based temperature set-point control with ASHRAE RP884. Building and Environment, 156, 137–146.
https://doi.org/10.1016/j.buildenv.2019.03.010
· Ma, N., Aviv, D., Guo, H., & Braham, W. W. (2021). Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality. Renewable and Sustainable Energy Reviews, 135, 110436.
https://doi.org/10.1016/j.rser.2020.110436
· Majewski, G., Telejko, M., & Orman, Ł. (2017). Preliminary results of thermal comfort analysis in selected buildings. E3S Web of Conferences, 17, 00056.
· Maleki, A., & Dehghan, N. (2020). Optimization of energy consumption and daylight performance in residential building regarding windows design in hot and dry climate of Isfahan. Science and Technology for the Built Environment, 27(3), 351–366.
https://doi.org/10.1080/23744731.2020.1812294
· Martins, J. R., & Lambe, A. B. (2013). Multidisciplinary design optimization: A survey of architectures. AIAA Journal, 51(9), 2049–2075.
https://doi.org/10.2514/1.J051895
· Merabtine, A., Maalouf, C., Hawila, A. A. W., Martaj, N., & Polidori, G. (2018). Building energy audit, thermal comfort, and IAQ assessment of a school building: A case study. Building and Environment, 145, 62–76.
https://doi.org/10.1016/j.buildenv.2018.09.015
· Mirrahimi, S., Mohamed, M. F., Haw, L. C., Ibrahim, N. L. N., Yusoff, W. F. M., & Aflaki, A. (2016). The effect of building envelope on the thermal comfort and energy saving for high-rise buildings in hot–humid climate. Renewable and Sustainable Energy Reviews, 53, 1508–1519.
https://doi.org/10.1016/j.rser.2015.09.055
· Mohamed Abd El-Rahman, S., Ibrahim Esmail, S., Bakr Khalil, H., & El-Razaz, Z. (2020). Sustainable optimization for thermal comfort and building energy efficiency in Cairo. Engineering Research Journal, 166, 48–65.
https://doi.org/10.21608/erj.2020.135278
· Moran, P., O'Connell, J., & Goggins, J. (2020). Sustainable energy efficiency retrofits as residential buildings move towards nearly zero energy building (NZEB) standards. Energy and Buildings, 211, 109816.
https://doi.org/10.1016/j.enbuild.2020.109816
· Mumthas, U. N., & Sushanth, S. (2024). Optimization of classroom design for improved comfort Warm and humid climate. In International Conference on Trends in Architecture and Construction.
· Mustapha, T. D., Hassan, A. S., Nasir, M. H. A., Khozaei, F., & Arab, Y. (2024). From perception to prediction: A comparative study of thermal comfort assessment techniques in school facilities. Energy and Buildings, 313, 114233.
https://doi.org/10.1016/j.enbuild.2024.114233
· Nasrollahi, N., & Shokri, E. (2016). Daylight illuminance in urban environments for visual comfort and energy performance. Renewable and Sustainable Energy Reviews, 66, 861–874.
https://doi.org/10.1016/j.rser.2016.08.052
· Nasrollahzadeh, N. (2021). Comprehensive building envelope optimization: Improving energy, daylight, and thermal comfort performance of the dwelling unit. Journal of Building Engineering, 44, 103418.
https://doi.org/10.1016/j.jobe.2021.103418
· Nico, M. A., Liuzzi, S., & Stefanizzi, P. (2015). Evaluation of thermal comfort in university classrooms through objective approach and subjective preference analysis. Applied Ergonomics, 48, 111–120.
https://doi.org/10.1016/j.apergo.2014.11.013
· Palme, M., Inostroza, L., Villacreses, G., Lobato-Cordero, A., & Carrasco, C. (2017). From urban climate to energy consumption: Enhancing building performance simulation by including the urban heat island effect. Energy and Buildings, 145, 107–120.
https://doi.org/10.1016/j.enbuild.2017.03.069
· Park, J. H., Yun, B. Y., Chang, S. J., Wi, S., Jeon, J., & Kim, S. (2020). Impact of a passive retrofit shading system on educational building to improve thermal comfort and energy consumption. Energy and Buildings, 216, 109930.
https://doi.org/10.1016/j.enbuild.2020.109930
· Pilechiha, P., Mahdavinejad, M., Pour Rahimian, F., Carnemolla, P., & Seyedzadeh, S. (2020). Multi-objective optimisation framework for designing office windows: Quality of view, daylight and energy efficiency. Applied Energy, 261, 114356.
https://doi.org/10.1016/j.apenergy.2019.114356
· Pilechiha, P., Mahdavinejad, M., Rahimian, F. P., Carnemolla, P., & Seyedzadeh, S. (2020). Multi-objective optimisation framework for designing office windows: Quality of view, daylight and energy efficiency. Applied Energy, 261, 114356.
https://doi.org/10.1016/j.apenergy.2019.114356
· Reffat, R. M., & Ahmad, R. M. (2020). Determination of optimal energy-efficient integrated daylighting systems into building windows. Solar Energy, 209, 258–277.
https://doi.org/10.1016/j.solener.2020.08.086
· Sedaghatnia, M., Faizi, M., Khakzand, M., & Sanaieian, H. (2021). Energy and daylight optimization of shading devices, window size, and orientation for educational spaces in Tehran, Iran. Journal of Architectural Engineering, 27(2), 04021011.
https://doi.org/10.1061/(ASCE)AE.1943-5568.0000466
· Sharmin, T., Gül, M., Li, X., Ganev, V., Nikolaidis, I., & Al-Hussein, M. (2014). Monitoring building energy consumption, thermal performance, and indoor air quality in a cold climate region. Sustainable Cities and Society, 13, 57–68.
https://doi.org/10.1016/j.scs.2014.04.009
· Sharp, F., Lindsey, D., Dols, J., & Coker, J. (2014). The use and environmental impact of daylighting. Journal of Cleaner Production, 85, 462–471.
https://doi.org/10.1016/j.jclepro.2014.03.092
· Shum, C., & Zhong, L. (2023). Optimizing automated shading systems for enhanced energy performance in cold climate zones: Strategies, savings, and comfort. Energy and Buildings, 300, 113638.
https://doi.org/10.1016/j.enbuild.2023.113638
· Slorach, P. C., & Stamford, L. (2021). Net zero in the heating sector: Technological options and environmental sustainability from now to 2050. Energy Conversion and Management, 230, 113838.
https://doi.org/10.1016/j.enconman.2021.113838
· Soares, N., Bastos, J., Pereira, L. D., Soares, A., Amaral, A. R., Asadi, E., Rodrigues, E., Lamas, F. B., Monteiro, H., Lopes, M. A. R., & Gaspar, A. R. (2017). A review on current advances in the energy and environmental performance of buildings towards a more sustainable built environment. Renewable and Sustainable Energy Reviews, 77, 845–860.
https://doi.org/10.1016/j.rser.2017.04.027
· Steemers, K., & Manchanda, S. (2010). Energy efficient design and occupant well-being: Case studies in the UK and India. Building and Environment, 45(2), 270–278.
https://doi.org/10.1016/j.buildenv.2009.08.025
· Su, X., Wang, Z., Zhou, F., Duanmu, L., Zhai, Y., Lian, Z., Cao, B., Zhang, Y., Zhou, X., & Xie, J. (2022). Comfortable clothing model of occupants and thermal adaption to cold climates in China. Building and Environment, 207, 108499.
https://doi.org/10.1016/j.buildenv.2021.108499
· Suradhuhita, P., Setyowati, E., & Prianto, E. (2023). Window direction factor toward PMV and PPD values in classrooms. Philippine Journal of Science, 152(3), 967–982.
https://doi.org/10.56899/152.03.17
· Suzuki, E. H., Lofrano, F. C., Kurokawa, F. A., Prado, R. T. A., & Leite, B. C. C. (2022). Decision-making process for thermal comfort and energy efficiency optimization coupling smart-window and natural ventilation in the warm and hot climates. Energy and Buildings, 266, 112110.
https://doi.org/10.1016/j.enbuild.2022.112110
· Taylor, M., Brown, N. C., & Rim, D. (2021). Optimizing thermal comfort and energy use for learning environments. Energy and Buildings, 248, 111181.
https://doi.org/10.1016/j.enbuild.2021.111181
· Thapa, S. (2019). Insights into the thermal comfort of different naturally ventilated buildings of Darjeeling, India-Effect of gender, age and BMI. Energy and Buildings, 193, 267–288.
https://doi.org/10.1016/j.enbuild.2019.04.003
· Tong, W. (2023). Building daylight simulation analysis based on Ladybug + Honeybee parametric approach: A case study of Gando Primary School. Journal of Architectural Research and Development, 7(4), 7–14.
https://doi.org/10.26689/jard.v7i4.4900
· Valladares-Rendón, L., Schmid, G., & Lo, S.-L. (2017). Review on energy savings by solar control techniques and optimal building orientation for the strategic placement of façade shading systems. Energy and Buildings, 140, 458–479.
https://doi.org/10.1016/j.enbuild.2016.12.073
· Varodompun, J., & Navvab, M. (2007). HVAC ventilation strategies: The contribution for thermal comfort, energy efficiency, and indoor air quality. Journal of Green Building, 2(2), 131–150.
https://doi.org/10.3992/jgb.2.2.131
· Wagiri, F., Shih, S.-G., Harsono, K., & Wijaya, D. C. (2024). Multi-objective optimization of kinetic facade aperture ratios for daylight and solar radiation control. Journal of Building Physics, 47(4), 355–385.
https://doi.org/10.1177/17442591231219793
· Waibel, C., Thomas, D., Elesawy, A., Hischier, I., Walker, L., & Schlueter, A. (2021). Integrating energy systems into building design with Hive: Features, user survey and comparison with Ladybug and Honeybee tools. In Building Simulation 2021.
· Wang, S., Yi, Y. K., & Liu, N. (2021). Multi-objective optimization (MOO) for high-rise residential buildings' layout centered on daylight, visual, and outdoor thermal metrics in China. Building and Environment, 205, 108263.
https://doi.org/10.1016/j.buildenv.2021.108263
· Wang, X., Feng, W., Cai, W., Ren, H., Ding, C., & Zhou, N. (2019). Do residential building energy efficiency standards reduce energy consumption in China? A data-driven method to validate the actual performance of building energy efficiency standards. Energy Policy, 131, 82–98.
https://doi.org/10.1016/j.enpol.2019.04.022
· Wang, X., Wu, Y., Dong, X., Liu, M., Lei, B., & Mai, X. (2024). Optimization of global energy consumption of buildings based on photothermal coupling effect of exterior windows in Qinghai-Tibet plateau. Journal of Building Engineering, 85, 108710.
https://doi.org/10.1016/j.jobe.2024.108710
· Wang, Z., Calautit, J., Tien, P. W., Wei, S., Zhang, W., Wu, Y., & Xia, L. (2023). An occupant-centric control strategy for indoor thermal comfort, air quality and energy management. Energy and Buildings, 285, 112899.
https://doi.org/10.1016/j.enbuild.2023.112899
· Wang, Z., & Hong, T. (2020). Learning occupants' indoor comfort temperature through a Bayesian inference approach for office buildings in United States. Renewable and Sustainable Energy Reviews, 119, 109593.
https://doi.org/10.1016/j.rser.2019.109593
· Wen, S., Hu, X., Hua, G., Xue, P., & Lai, D. (2023). Comparing the performance of four shading strategies based on a multi-objective genetic algorithm: A case study in a university library. Journal of Building Engineering, 63, 105532.
https://doi.org/10.1016/j.jobe.2022.105532
· Worldweatheronline. (n.d.). Tehran weather averages. Retrieved from https://www.worldweatheronline.com/tehran-weather-averages/tehran/ir.aspx
· Xue, Y., & Liu, W. (2023). A study on the optimization of atrium daylight and energy performance through skylight and shading design in commercial buildings in cold zones. Buildings, 13(1), 228.
https://doi.org/10.3390/buildings13010228
· Yang, T., Clements-Croome, D., & Marson, M. (2017). Building energy management systems. In M. A. Abraham (Ed.), Encyclopedia of sustainable technologies (pp. 291–309). Elsevier.
https://doi.org/10.1016/B978-0-12-409548-9.10199-X
· Yao, B., Salehi, A., Baghoolizadeh, M., Khairy, Y., & Baghaei, S. (2024). Multi-objective optimization of office egg shadings using NSGA-II to save energy consumption and enhance thermal and visual comfort. International Communications in Heat and Mass Transfer, 157, 107697.
https://doi.org/10.1016/j.icheatmasstransfer.2024.107697
· Yao, R., Costanzo, V., Li, X., Zhang, Q., & Li, B. (2018). The effect of passive measures on thermal comfort and energy conservation: A case study of the hot summer and cold winter climate in the Yangtze River region. Journal of Building Engineering, 15, 298–310.
https://doi.org/10.1016/j.jobe.2017.11.012
· Yue, N., Li, L., Morandi, A., & Zhao, Y. (2021). A metamodel-based multi-objective optimization method to balance thermal comfort and energy efficiency in a campus gymnasium. Energy and Buildings, 253, 111513.
https://doi.org/10.1016/j.enbuild.2021.111513
· Zaker Vafaee, N., Sandani, M., Khamene, T. A., Tagnocchetti, M., Izumi, B., & Finocchiaro, L. (2022). Integrating energy in the conceptual design stage to optimize building form. In Proceedings of the 63rd International Conference of Scandinavian Simulation Society (SIMS 2022), Trondheim, Norway.
· Zhao, J., & Du, Y. (2020). Multi-objective optimization design for windows and shading configuration considering energy consumption and thermal comfort: A case study for office building in different climatic regions of China. Solar Energy, 206, 997–1017.
https://doi.org/10.1016/j.solener.2020.05.090
· Zhu, L., Wang, B., & Sun, Y. (2020). Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China. Building and Environment, 176, 106841.
https://doi.org/10.1016/j.buildenv.2020.106841
· Zomorodian, Z. S., Tahsildoost, M., & Hafezi, M. (2016). Thermal comfort in educational buildings: A review article. Renewable and Sustainable Energy Reviews, 59, 895–906.
https://doi.org/10.1016/j.rser.2016.01.033