Related Work and References

• US Energy Information Administration. “U.S. energy consumption by source and sector, 2021”, available at https://www.eia.gov/totalenergy/data/monthly/pdf/flow/total-energy-spaghettichart-2021.pdf
• US Energy Information Administration. “Quadrennial Technology Review 2015”, available at https://www.energy.gov/sites/prod/files/2017/03/f34/qtr-2015-chapter5.pdf
• ASHRAE Terminology. “indoor environment quality (IEQ)”, available at https://xp20.ashrae.org/terminology/index.php?term=indoor%20environment%20quality%20(IEQ)
• Luo, Maohui, Zhe Wang, Kevin Ke, Bin Cao, Yongchao Zhai, and Xiang Zhou. “Human metabolic rate and thermal comfort in buildings: The problem and challenge.” Building and Environment 131 (2018): 44-52.
• Hasson, Rebecca E., Cheryl A. Howe, Bryce L. Jones, and Patty S. Freedson. “Accuracy of four resting metabolic rate prediction equations: effects of sex, body mass index, age, and race/ethnicity.” Journal of Science and Medicine in Sport 14, no. 4 (2011): 344-351.
• Tartarini, F., Schiavon, S., Cheung, T., Hoyt, T., (2020). “CBE Thermal Comfort Tool: online tool for thermal comfort calculations and visualizations”. SoftwareX 12, 100563.
• International Organization for Standardization. (2005). “Ergonomics of the thermal environment — Analytical determination and interpretation of thermal comfort using calculation of the PMV and PPD indices and local thermal comfort criteria (ISO 7730)”. available at https://www.sis.se/api/document/preview/907006/
• Hasan, M. H., Alsaleem, F. M., & Rafaie, M. (2016). “Sensitivity analysis for the PMV thermal comfort model and the use of wearable devices to enhance its accuracy”. International High Performance Buildings Conference. Paper 200.
• US Energy Information Administration. “Technical Assistance Document for the Reporting of Daily Air Quality – the Air Quality Index (AQI)”, available at https://www.airnow.gov/sites/default/files/2020-05/aqi-technical-assistance-document-sept2018.pdf
• Standard, A. S. H. R. A. E. (2017). Standard 55–2017 thermal environmental conditions for human occupancy. Ashrae: Atlanta, GA, USA., available at https://hogiaphat.vn/upload/docs/ASHRAE55-version2017.pdf
• Shah, N., Chao, K. M., Zlamaniec, T., & Matei, A. (2011, June). Ontology for home energy management domain. In International Conference on Digital Information and Communication Technology and Its Applications (pp. 337-347). Springer, Berlin, Heidelberg.
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• Pruvost, H., Wilde, A., & Enge-Rosenblatt, O. (2023). Ontology-Based Expert System for Automated Monitoring of Building Energy Systems. Journal of Computing in Civil Engineering, 37(1), 04022054.
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• Zhao, Y., Yang, Q., Fox, A., & Zhang, T. (2020, April). Ontology-based knowledge modeling of post-occupancy evaluation for green building. In IOP Conference Series: Earth and Environmental Science (Vol. 495, No. 1, p. 012076). IOP Publishing.
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• Nolich, M., Spoladore, D., Carciotti, S., Buqi, R., & Sacco, M. (2019). Cabin as a home: a novel comfort optimization framework for IoT equipped smart environments and applications on cruise ships. Sensors, 19(5), 1060.
• Adeleke, J. A., & Moodley, D. (2015, September). An ontology for proactive indoor environmental quality monitoring and control. In Proceedings of the 2015 annual research conference on south African institute of computer scientists and information technologists (pp. 1-10).
• Spoladore, D., Arlati, S., Carciotti, S., Nolich, M., & Sacco, M. (2018). RoomFort: An ontology-based comfort management application for hotels. Electronics, 7(12), 345.
• Chen, W., Chena, K., Gan, V. J. L., & Cheng, J. C. P. (2019). A methodology for indoor human comfort analysis based on BIM and ontology. In ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction (Vol. 36, pp. 1189-1196). IAARC Publications.
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• Esnaola-Gonzalez, I., Bermúdez, J., Fernandez, I., & Arnaiz, A. (2021). EEPSA as a core ontology for energy efficiency and thermal comfort in buildings. Applied Ontology, 16(2), 193-228.