Analysis of influencing factors on heat consumption of large residential buildings with different occupancy rates-Tianjin case study
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DOI: 10.1016/j.energy.2021.121834
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Cited by:
- Wang, Zhijin & Liu, Xiufeng & Huang, Yaohui & Zhang, Peisong & Fu, Yonggang, 2023. "A multivariate time series graph neural network for district heat load forecasting," Energy, Elsevier, vol. 278(PA).
- Zhang, Xuemei & Yuan, Jianjuan & Kong, Xiangfei & Han, Jingxiao & Shi, Ying, 2023. "Coupling of flexible phase change materials and pipe for improving the stability of heating system," Energy, Elsevier, vol. 275(C).
- Mengyao Lu & Guitao Xu & Jianjuan Yuan, 2023. "Installation Principle and Calculation Model of the Representative Indoor Temperature-Monitoring Points in Large-Scale Buildings," Energies, MDPI, vol. 16(17), pages 1-19, September.
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Keywords
Demand-side; Large residential building; Occupancy rate; Calculation method; Distribution method;All these keywords.
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