Author:
Qian Mingyang,Yan Da,Liu Hua,Berardi Umberto,Liu Ye
Publisher
Springer Science and Business Media LLC
Subject
Energy (miscellaneous),Building and Construction
Reference45 articles.
1. Alonso S, Morán A, Pérez D, Reguera P, Díaz I, Domínguez M (2019). Virtual sensor based on a deep learning approach for estimating efficiency in chillers. In: Proceedings of International Conference on Engineering Applications of Neural Networks.
2. An J, Yan D, Hong T (2018). Clustering and statistical analyses of air-conditioning intensity and use patterns in residential buildings. Energy and Buildings, 174: 214–227.
3. Capozzoli A, Piscitelli MS, Gorrino A, Ballarini I, Corrado V (2017). Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings. Sustainable Cities and Society, 35: 191–208.
4. Cetin KS, Novoselac A (2015). Single and multi-family residential central all-air HVAC system operational characteristics in cooling-dominated climate. Energy and Buildings, 96: 210–220.
5. Chandra Putra H, Andrews CJ, Senick JA (2017). An agent-based model of building occupant behavior during load shedding. Building Simulation, 10: 845–859.
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献