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Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques

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  1. Kaabinejadian, Amirreza & Pozarlik, Artur & Acar, Canan, 2025. "A systematic review of predictive, optimization, and smart control strategies for hydrogen-based building heating systems," Applied Energy, Elsevier, vol. 379(C).
  2. Sulaiman, Mohd Herwan & Mustaffa, Zuriani, 2024. "Chiller energy prediction in commercial building: A metaheuristic-Enhanced deep learning approach," Energy, Elsevier, vol. 297(C).
  3. Tsai, I-Chun, 2024. "A wise investment by urban governments: Evidence from intelligent sports facilities," Journal of Asian Economics, Elsevier, vol. 92(C).
  4. Wei, Zhichen & Calautit, John Kaiser, 2024. "Field experiment testing of a low-cost model predictive controller (MPC) for building heating systems and analysis of phase change material (PCM) integration," Applied Energy, Elsevier, vol. 360(C).
  5. Barone, G. & Buonomano, A. & Forzano, C. & Giuzio, G.F. & Palombo, A. & Russo, G., 2023. "A new thermal comfort model based on physiological parameters for the smart design and control of energy-efficient HVAC systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
  6. Elnour, Mariam & Fadli, Fodil & Himeur, Yassine & Petri, Ioan & Rezgui, Yacine & Meskin, Nader & Ahmad, Ahmad M., 2022. "Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
  7. Christoforos Menos-Aikateriniadis & Ilias Lamprinos & Pavlos S. Georgilakis, 2022. "Particle Swarm Optimization in Residential Demand-Side Management: A Review on Scheduling and Control Algorithms for Demand Response Provision," Energies, MDPI, vol. 15(6), pages 1-26, March.
  8. Liu, Che & Li, Fan & Zhang, Chenghui & Sun, Bo & Zhang, Guanguan, 2023. "A day-ahead prediction method for high-resolution electricity consumption in residential units," Energy, Elsevier, vol. 265(C).
  9. Luka Pajek & Mitja Košir, 2021. "Exploring Climate-Change Impacts on Energy Efficiency and Overheating Vulnerability of Bioclimatic Residential Buildings under Central European Climate," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
  10. Engel, Jens & Schmitt, Thomas & Rodemann, Tobias & Adamy, Jürgen, 2024. "Hierarchical MPC for building energy management: Incorporating data-driven error compensation and mitigating information asymmetry," Applied Energy, Elsevier, vol. 372(C).
  11. Daniel Icaza Alvarez & Fernando González-Ladrón-de-Guevara & Jorge Rojas Espinoza & David Borge-Diez & Santiago Pulla Galindo & Carlos Flores-Vázquez, 2025. "The Evolution of AI Applications in the Energy System Transition: A Bibliometric Analysis of Research Development, the Current State and Future Challenges," Energies, MDPI, vol. 18(6), pages 1-31, March.
  12. Dai, Mingkun & Li, Hangxin & Wang, Shengwei, 2023. "A reinforcement learning-enabled iterative learning control strategy of air-conditioning systems for building energy saving by shortening the morning start period," Applied Energy, Elsevier, vol. 334(C).
  13. Zhou, Yuekuan & Zheng, Siqian, 2024. "A co-simulated material-component-system-district framework for climate-adaption and sustainability transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
  14. Feng, Yanxiao & Liu, Shichao & Wang, Julian & Yang, Jing & Jao, Ying-Ling & Wang, Nan, 2022. "Data-driven personal thermal comfort prediction: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
  15. Koldobika Martin-Escudero & Garazi Atxalandabaso & Aitor Erkoreka & Amaia Uriarte & Matteo Porta, 2021. "Comparison between Energy Simulation and Monitoring Data in an Office Building," Energies, MDPI, vol. 15(1), pages 1-24, December.
  16. Amjad Almusaed & Ibrahim Yitmen & Asaad Almssad, 2023. "Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
  17. Jo, Ho Hyeon & Kang, Yujin & Yang, Sungwoong & Kim, Young Uk & Yun, Beom Yeol & Chang, Jae D. & Kim, Sumin, 2022. "Application and evaluation of phase change materials for improving photovoltaic power generation efficiency and roof overheating reduction," Renewable Energy, Elsevier, vol. 195(C), pages 1412-1425.
  18. Nishant Raj Kapoor & Ashok Kumar & Tabish Alam & Anuj Kumar & Kishor S. Kulkarni & Paolo Blecich, 2021. "A Review on Indoor Environment Quality of Indian School Classrooms," Sustainability, MDPI, vol. 13(21), pages 1-43, October.
  19. Siti Rosilah Arsad & Muhamad Haziq Hasnul Hadi & Nayli Aliah Mohd Afandi & Pin Jern Ker & Shirley Gee Hoon Tang & Madihah Mohd Afzal & Santhi Ramanathan & Chai Phing Chen & Prajindra Sankar Krishnan &, 2023. "The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives," Energies, MDPI, vol. 16(18), pages 1-31, September.
  20. Ahmad Esmaeilzadeh & Brian Deal & Aghil Yousefi-Koma & Mohammad Reza Zakerzadeh, 2022. "How Multi-Criterion Optimized Control Methods Improve Effectiveness of Multi-Zone Building Heating System Upgrading," Energies, MDPI, vol. 15(22), pages 1-27, November.
  21. Esmaeilzadeh, Ahmad & Deal, Brian & Yousefi-Koma, Aghil & Zakerzadeh, Mohammad Reza, 2023. "How combination of control methods and renewable energies leads a large commercial building to a zero-emission zone – A case study in U.S," Energy, Elsevier, vol. 263(PD).
  22. Liu, Shuli & Han, Junrui & Shen, Yongliang & Khan, Sheher Yar & Ji, Wenjie & Jin, Haibo & Kumar, Mahesh, 2025. "The contribution of artificial intelligence to phase change materials in thermal energy storage: From prediction to optimization," Renewable Energy, Elsevier, vol. 238(C).
  23. Guo, Mengmeng & Hao, Yongsheng & Lee, Kwang Y. & Sun, Li, 2025. "Extended-state Kalman filter-based model predictive control and energy-saving performance analysis of a coal-fired power plant," Energy, Elsevier, vol. 314(C).
  24. Venkatraj, V. & Dixit, M.K., 2022. "Challenges in implementing data-driven approaches for building life cycle energy assessment: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
  25. Chao Ding & Jing Ke & Mark Levine & Nan Zhou, 2024. "Potential of artificial intelligence in reducing energy and carbon emissions of commercial buildings at scale," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
  26. Khaled Almazam & Omar Humaidan & Nahla M. Shannan & Faizah Mohammed Bashir & Taha Gammoudi & Yakubu Aminu Dodo, 2025. "Innovative Energy Efficiency in HVAC Systems with an Integrated Machine Learning and Model Predictive Control Technique: A Prospective Toward Sustainable Buildings," Sustainability, MDPI, vol. 17(7), pages 1-35, March.
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