Author:
Kumar Gajendran Mohan,Fazil Syed Ahmed Kabir Ijaz,Vadivelu Sudhakar,Yin-Kwee Ng Eddie,Chandra Thota Ravi
Abstract
This chapter provides a comprehensive exploration of the evolving role of machine learning in Indoor Environmental Quality (IEQ) assessment. As urban living spaces become increasingly enclosed, the importance of maintaining optimal IEQ for human health and well-being has surged. Traditional methods for IEQ assessment, while effective, often fail to provide real-time monitoring and control. This gap is increasingly being addressed by the integration of machine learning techniques, allowing for enhanced predictive modeling, real-time optimization, and robust anomaly detection. The chapter delves into a comparative analysis of various machine learning techniques including supervised, unsupervised, and reinforcement learning, demonstrating their unique benefits in IEQ assessment. Practical implementations of these techniques in residential, commercial, and specialized environments are further illustrated through detailed case studies. The chapter also addresses the existing challenges in implementing machine learning for IEQ assessment and provides an outlook on future trends and potential research directions. The comprehensive review offered in this chapter encourages continued innovation and research in leveraging machine learning. for more efficient and effective IEQ assessment.
Reference81 articles.
1. Mujan I, Anelković AS, Munćan V, Kljajić M, Ružić D. Influence of indoor environmental quality on human health and productivity – A review. Journal of Cleaner Production. 2019;217:646-657 ISSN 0959-6526
2. Ma N, Aviv D, Guo H, Braham WW. Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality. Renewable and Sustainable Energy Reviews. 2021;135:110436 ISSN 1364-0321
3. The Atmospheric Fund. Improving Indoor Environmental Quality in Multi-Unit Residential Buildings. Toronto, ON: The Atmospheric Fund; 2019. Available from: https://taf.ca/custom/uploads/2019/05/Improving-Indoor-Environmental-Quality-in-Multi-Unit-Residential-Buildings-May-2019.pdf. [Accessed: December 23, 2023]
4. Alhorr Y, Arif M, Katafygiotou M, Mazroei A, Kaushik A, Elsarrag E. Impact of indoor environmental quality on occupant well-being and comfort: A review of the literature. International Journal of Sustainable Built Environment. 2016;5(1):1-11 ISSN 2212-6090
5. Mannan M, Al-Ghamdi SG. Indoor air quality in buildings: A comprehensive review on the factors influencing air pollution in residential and commercial structure. International Journal of Environmental Research and Public Health. 2021;18(6):3276. ISSN 1660-4601