Author:
Chu Shuchang,Cheng Xiaogang,Zhou Yufeng,Hu Xintao,Xu Caoxin,Liu Xiaolong,Wang Qing,Yang Bin
Publisher
Springer Nature Switzerland
Reference24 articles.
1. Fayyaz, M., Farhan, A.A., Javed, A.R.: Thermal comfort model for hvac buildings using machine learning. Arabian J. Sci. Eng. 1–16 (2022)
2. Zhang, L., Sanake, S.: Thermal comfort aggregation modeling based on social science theory: Towards a comfort-driven cyber human system framework. In: Computing in Civil Engineering 2019: Data, Sensing, and Analytics, pp. 547–554. American Society of Civil Engineers Reston, VA (2019)
3. Auffenberg, F., Snow, S., Stein, S., Rogers, A.: A comfort-based approach to smart heating and air conditioning. ACM Trans. Intell. Sys. Technol. (TIST) 9(3), 1–20 (2017)
4. Ding, Z., Fu, Q., Chen, J., Wu, H., Lu, Y., Hu, F.: Multi-zone residential hvac control with satisfying occupants’ thermal comfort requirements and saving energy via reinforcement learning. In: Parallel and Distributed Computing, Applications and Technologies: 22nd International Conference, PDCAT 2021, Guangzhou, China, December 17–19, 2021, Proceedings. pp. 441–451. Springer (2022)
5. Bratman, G.N., Hamilton, J.P., Daily, G.C.: The impacts of nature experience on human cognitive function and mental health. Ann. N. Y. Acad. Sci. 1249(1), 118–136 (2012)
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