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Data-driven research into the inaccuracy of traditional models of thermal comfort in offices

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Meta-learning of personalized thermal comfort model and fast identification of the best personalized thermal environmental conditions

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Indoor thermal comfort and ageing: A systematic review

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Field questionnaire survey on thermal comfort of medical personnel in operating rooms for hospitals in Nanjing

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Field investigation on thermal comfort of metro passengers in hot summer and warm winter zone of China: A case study in Guangzhou

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Combining microclimatic monitoring with questionnaires, for understanding thermal comfort in Linpan, a typical agricultural ecosystem settlement in the Chengdu plain

Chen, L., Kalonji, G., Xu, L., Ma, P., & Hu, L. (2022) · Building and Environment · doi:10.1016/j.buildenv.2022.109868 · Cited by 14 · see citing works

Implications of lower indoor temperatures – Not cool for cold susceptible individuals across both sexes

Rupp, R. F., Piil, J. F., Cubel, C., Nybo, L., & Toftum, J. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.112829 · Cited by 12 · see citing works

A comparison of air temperature thresholds for warm thermal discomfort between pre- and post-menopausal women

Carter, S., Vargas, N. T., de Dear, R., Black, K. I., & Jay, O. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.110421 · Cited by 12 · see citing works

Prediction model for personalized thermal comfort of indoor office workers based on non-skin contact wearable device

Liu, G., Luo, X., Yu, J., Sun, Y., & Zhang, B. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.112686 · Cited by 12 · see citing works

A framework for developing adaptive acoustic comfort: Insights from expert interviews

DİCLE, S. Y., Aletta, F., & Kang, J. (2025) · Applied Acoustics · doi:10.1016/j.apacoust.2025.110642 · Cited by 13 · see citing works

Intersecting heuristic adaptive strategies, building design and energy saving intentions when facing discomfort environment: A cross-country analysis

Chen, C., Simone, M. D., Yılmaz, S., Xu, X., Wang, Z., Hong, T., & Pan, Y. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.108129 · Cited by 12 · see citing works

Improved Thermal Comfort Model Leveraging Conditional Tabular GAN Focusing on Feature Selection

Shajalal, M., Bohlouli, M., Das, H., Boden, A., & Stevens, G. (2024) · IEEE Access · doi:10.1109/access.2024.3366453 · Cited by 11 · see citing works

Energy-saving regulation methods and energy consumption characteristics of office air-conditioning loads in hot summer and cold winter areas

Jiang, H., Qiu, S., Ran, B., Song, S., & Long, J. (2024) · Energy and Built Environment · doi:10.1016/j.enbenv.2024.04.009 · Cited by 11 · see citing works

Application of logistic function in a new PMV modification model for elderly people: Combining age and TSV

Zheng, G., Yi, W., Jia, R., & Yue, X. (2024) · Building and Environment · doi:10.1016/j.buildenv.2024.112182 · Cited by 11 · see citing works

Students’ thermal comfort and cognitive performance in tropical climates: A comparative study

Cen, C., Tan, E., Valliappan, S., Ang, E., Chen, Z., & Ng, E. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.115817 · Cited by 11 · see citing works

Evaluating Personal Comfort Systems Performance – A Design of Experiments based Review

Du, H., & Ghahramani, A. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113415 · Cited by 11 · see citing works

Understanding the factors that affect households’ investment decisions required by the energy transition

Aguayo-Mendoza, A., Irizar-Arrieta, A., Casado–Mansilla, D., & Borges, C. E. (2024) · PLoS ONE · doi:10.1371/journal.pone.0297222 · Cited by 10 · see citing works

Physics-Informed Neural Networks for robust thermal comfort prediction: Overcoming data quality limitations through physiological constraints

Guo, H., He, K., Luo, Y., & Chang, Y. H. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113588 · Cited by 10 · see citing works

Quantitative Investigation of Body Part Selection for Data-Driven Personal Overall Thermal Preference Prediction

Zhang, K., Yu, H., Tang, Y., Luo, M., Su, Z., & Li, C. (2022) · Buildings · doi:10.3390/buildings12020170 · Cited by 10 · see citing works

International Energy Agency EBC Annex 80 - Resilient Cooling of Buildings - State of the Art Review

Zhengtao, A., Akander, J., Arens, E. A., Arghand, T., Attia, S., Bogatu, D., Bozonnet, E., Breesch, H., Cehlin, M., Chiesa, G., et al. (2022) · doi:10.52776/coxk4763 · Cited by 13 · see citing works

Local thermal response differences due to sex and BMI among older adults in warm environments

Chen, M., Younes, J., Farahani, A. V., Kilpeläinen, S., Kosonen, R., Ghaddar, N., & Melikov, A. K. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113275 · Cited by 9 · see citing works

A Machine Learning approach to enhance indoor thermal comfort in a changing climate

Kramer, T., Garcia-Hansen, V., Omrani, S., & Chen, D. (2021) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2042/1/012070 · Cited by 9 · see citing works

A model of indoor thermal condition based on traditional acehnese houses using artificial neural network

Muslimsyah, M., Munir, A., Away, Y., Abdullah, A., Arif, T. Y., & Novandri, A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40644 · Cited by 9 · see citing works

Study of personal thermoregulatory responses after environmental cold step-change for group classification

Hu, J., Shan, C., Zhao, S., & Zhang, A. (2022) · Building and Environment · doi:10.1016/j.buildenv.2022.109538 · Cited by 9 · see citing works

Enhancing thermal comfort in shared building spaces: A group thermal preference framework and optimization strategies

Wang, J., Cheng, Z., Lu, Y., & Lin, Z. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113906 · Cited by 8 · see citing works

Improved dequantization and normalization methods for tabular data pre-processing in smart buildings

Das, H., & Spanos, C. J. (2022) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/3563357.3564072 · Cited by 10 · see citing works

Adaptive Thermal Comfort in the Different Buildings of Temperate Climates—Comparison Between High-Latitude Europe and Mountainous Himalayas in India

Thapa, S., & Pernigotto, G. (2025) · Sustainability · doi:10.3390/su17020404 · Cited by 7 · see citing works

A field study on thermal comfort and adaptive behaviour of university open-plan offices in severe cold regions of China

Zhang, H., Sun, C. T., Zhang, L., Yan, B., Liu, Y., & Dong, Q. (2025) · Journal of Asian Architecture and Building Engineering · doi:10.1080/13467581.2025.2455014 · Cited by 7 · see citing works

Longitudinal Analysis of Thermal Responses: A Comparative Study of Home and Office Environments in Singapore and Japan

Mihara, K., Cheung, T. C. T., Ono, E., Arisaka, S., & Hasama, T. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113108 · Cited by 7 · see citing works

Traditional Town Houses in Kyoto, Japan: Present and Future

Iba, C., & Hokoi, S. (2022) · Energies · doi:10.3390/en15051913 · Cited by 7 · see citing works

Thermal Network Model for an Assessment of Summer Indoor Comfort in a Naturally Ventilated Residential Building

Michalak, P. (2022) · Energies · doi:10.3390/en15103709 · Cited by 7 · see citing works

Experimental study of thermal comfort by variable temperature and velocity air supply system in operating room

Zhou, B., Wang, A., Ren, H., Xia, J., Fan, P., Wang, S., Wang, Y., Zhao, H.-Y., Li, W., Tan, M.-L., et al. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.112927 · Cited by 6 · see citing works

Influence and Optimization of Landscape Elements on Outdoor Thermal Comfort in University Plazas in Severely Cold Regions

Tao, Z., Xu, G., Li, G., Zhao, X., Gao, Z., & Shen, X. (2025) · Plants · doi:10.3390/plants14142228 · Cited by 5 · see citing works

Localized thermal control for global impact: A meta-analytical review of thermal comfort and energy performance of personal comfort systems

T, A. A. P. D., Rijal, H. B., & Shahzad, S. (2025) · Applied Energy · doi:10.1016/j.apenergy.2025.127051 · Cited by 5 · see citing works

Developing a Reliable Shallow Supervised Learning for Thermal Comfort Using Multiple ASHRAE Databases

Karyono, K., Abdullah, B. M., Cotgrave, A., Brás, A., & Cullen, J. D. (2024) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2024.3376319 · Cited by 5 · see citing works

Sex- and age-related differences in thermal sensitivity to radiant cooling in sleeping pods

Ismail, O. A., Hussain, S., Ali, A. M., Tawfik, M. W., Fiacco, F., Hassan, M. A., & Araji, M. T. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.116185 · Cited by 4 · see citing works

Investigating the impact of indoor environment quality on user satisfaction in public library: A data fusion approach

Yang, B., Zhao, Z., Guo, M., & Li, Z. (2025) · Journal of Building Engineering · doi:10.1016/j.jobe.2025.113984 · Cited by 4 · see citing works

Ten questions concerning low-cost indoor air quality sensors: Perspectives from research and practice

Parkinson, T., Bhangar, S., Chan, W. R., Chen, W., Gilligan, B., Kramer, T., Li, J., Miller, C. C., Oaks, L., Thind, M. P. S., et al. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.114737 · Cited by 4 · see citing works

A data-driven qualitative review of thermal comfort studies: Bridging the gap between western and eastern perspectives

Chang, Y. H., Guo, H., Li, Y.-C., Pigliautile, I., & Chi, B. (2025) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2025.116020 · Cited by 4 · see citing works

Assessment of the Impact of Building Orientation on PMV and PPD in Naturally Ventilated Rooms During Summers in Warm and Humid Climate of Kharagpur, India

Kaushal, A. A., Anand, P., & Aithal, B. H. (2023) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/3600100.3627034 · Cited by 4 · see citing works

Thermal comfort model for classrooms using occupant-centered approach

Riaz, H., Arif, S., Yousuf, S., Bashir, M. N., Ali, M. M., & Badruddin, I. A. (2025) · Case Studies in Thermal Engineering · doi:10.1016/j.csite.2025.106589 · Cited by 4 · see citing works

Effect of thermal acclimatization on occupants’ thermal responses in dynamic thermal environments after exercise in summer

Fu, Y., Liu, H., Chen, G., Wu, Y., & Li, B. (2025) · Building and Environment · doi:10.1016/j.buildenv.2025.113317 · Cited by 3 · see citing works

Spatiotemporal variations in indoor thermal environments and dynamic comfort of passengers in airport terminals during winter

Yang, Y., Yu, J., Zhang, D., Tang, H., Jiang, W., Han, L., Li, J., Lin, B., & Dong, Y. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.114268 · Cited by 3 · see citing works

Indoor Thermal Comfort Prediction Model for Patients in Rehabilitation Wards

Gong, P., Cai, Y., Chen, B., Zhang, C., Stravoravdis, S., & Yu, Y. (2024) · Lecture notes in civil engineering · doi:10.1007/978-981-99-7965-3_39 · Cited by 3 · see citing works

Variations in Gender Perceptions of Summer Comfort and Adaptation in Colonial Revival-Style Homes

Adekunle, T. O. (2024) · Sustainability · doi:10.3390/su16103961 · Cited by 3 · see citing works

Effective Heat Transfer Mechanisms of Personal Comfort Systems for Thermal Comfort and Energy Savings: A Review

T, A. A. P. D., & Rijal, H. B. (2025) · Energies · doi:10.3390/en18195226 · Cited by 2 · see citing works

Development of a D-centred thermal comfort classification model based on the ASHRAE global thermal comfort database II: an Indian case study

Duke, O. P., Kowli, A. S., & Zhou, J. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.114324 · Cited by 2 · see citing works

Evaluation of office comfort temperatures across seasons and climate zones: National-scale evidence from China and the United States

Xu, X., & Ghahramani, A. (2026) · Energy and Buildings · doi:10.1016/j.enbuild.2026.117698 · Cited by 2 · see citing works

Individual Factors that Affect the Perceived Thermal Comfort Condition during Heating Seasons

Jabbari, S. G., Vrcelj, Z., Chau, H.-W., Maleki, A., & Olesen, B. W. (2023) · Journal of Architectural Engineering · doi:10.1061/jaeied.aeeng-1508 · Cited by 2 · see citing works

Adaptive thermal comfort model and active occupant behaviour in a mixed-mode apartment. A synergy to sustainability.

Drakou, A., Sofos, F. D., Karakasidis, T. E., & Tsangrassoulis, A. (2023) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/1196/1/012097 · Cited by 2 · see citing works

Are we adequately accounting for human factors in analyses of thermal comfort studies?

Mishra, A. K., Wargocki, P. L., & O’Reilly, É. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.116335 · Cited by 1 · see citing works

Sex differences in thermal sensation and EEG responses during thermal transitions in non-neutral thermal environments within buildings

Kim, S., Yoon, S., Ryu, J., & Lee, Y. (2026) · Architectural Science Review · doi:10.1080/00038628.2026.2619000 · Cited by 1 · see citing works

Feature selection-based adaptive sensor deployment for indoor thermal comfort prediction

Tak, M. S. N., Wang, J., Ardabili, N. G., Zhu, Z., & Feng, Y. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.114510 · Cited by 1 · see citing works

A hierarchical thermal preference structure for understanding satisfaction in multi-occupant offices under cooling season conditions

An, J., Li, Q., Qian, M., Yan, D., Wu, R., & Zhou, X. (2026) · Building and Environment · doi:10.1016/j.buildenv.2026.114768 · Cited by 1 · see citing works

Geographical Variations in Thermal Comfort Preferences Based on ASHRAE Database II

Al-Sharif, O. A., Newir, A., & Halawa, M. (2023) · doi:10.13140/rg.2.2.17856.81929 · Cited by 1 · see citing works

Individual difference in thermal comfort: A literature review

Wang, Z., de Dear, R., Luo, M., Lin, B., He, Y., Ghahramani, A., & Zhu, Y. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.04.040 · Cited by 675 · see citing works

Thermal Mass, Thermal Comfort and Thermoregulation in Cool Temperate Climate Residential Buildings

Parsons, S. R., & Kriwoken, L. (2006) · eCite Digital Repository (University of Tasmania)

Predicting individual differences in passengers’ thermal sensation and comfort responses in a vehicle cabinPreprint

Park, J., Lim, K., Chun, C., & Kim, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7323519

Individual thermal comfort differences in a Japanese condominium

Aqilah, N., Rijal, H. B., & Yoshida, K. (2023) · E3S Web of Conferences · doi:10.1051/e3sconf/202339601061 · Cited by 1 · see citing works