A simulation approach of indoor temperature in existing buildings driven by short-term field measured data

References

• Afroz, Z., G. M. Shafiullah, and G. Higgins. 2017. “Prediction of Indoor Temperature in an Institutional Building.” Energy Procedia 142: 1860–1866. doi:10.1016/j.egypro.2017.12.576.
   Google Scholar
• Amirul, I. K., D. C. Nicolas, J. N. Catherine, and S. Jonathan. 2017. “Real-time Flow Simulation of Indoor Environments Using Lattice Boltzmann Method.” Building Simulation 2015 (8): 405–414.
   Google Scholar
• Andarini, R. 2014. “The Role of Building Thermal Simulation for Energy Efficient Building Design.” Energy Procedia 47: 217–227. doi:10.1016/j.egypro.2014.01.217.
   Google Scholar
• Antoni, W., and L. C. Macie. 2016. “Elman Neural Network for Modelling and Predictive Control of Delayed Dynamic Systems.” Archives of Control Sciences 26 (1): 117–142. doi:10.1515/acsc-2016-0007.
   Web of Science ®Google Scholar
• Bezuglov, A., and G. Comert. 2016. “Short-term Freeway Traffic Parameter Prediction: Application of Grey System Theory Models.” Expert Systems With Applications 62: 284–292. doi:10.1016/j.eswa.2016.06.032.
   Web of Science ®Google Scholar
• Chen, X., and M. Liu. 2017. “Simulation and On-site Measurement of Heating Performance in Air-conditioned University Dormitories, a Case Study in Chongqing.” Procedia Engineering 205: 2569–2576. doi:10.1016/j.proeng.2017.10.235.
   Google Scholar
• Cornick, S. M., and M. K. Kumaran. 2014. “A Comparison of Empirical Indoor Relative Humidity Models with Measured Data.” Journal of Building Physics 31 (3): 25.
   Google Scholar
• Deng, J. L. 1982. “Control Problems of Grey Systems.” Systems & Control Letters 1 (5): 288–294. doi:10.1016/S0167-6911(82)80025-X.
   Web of Science ®Google Scholar
• Deng, J. L. 1986. Grey Prediction. Wuchang: Huazhong University of Science & Technology Press. in Chinese
   Google Scholar
• DeST. 2022. Accessed 19 April 2022. https://www.dest.net.cn/zy
   Google Scholar
• Elman, J. L. 1990. “Finding Structure in Time.” Cognitive Science 14: 179–211. doi:10.1207/910s15516709cog1402_1.
   Web of Science ®Google Scholar
• Giacomo, C., L. S. Grazia, and M. C. Cammarata. 2017. “Thermal Transients Simulations of a Building by a Dynamic Model Based on thermal-electrical Analogy: Evaluation and Implementation Issue.” Applied Energy 199 (1): 323–334. doi:10.1016/j.apenergy.2017.05.052.
   Google Scholar
• Guo, Y., X. Wu, J. Chen, and X. Zhang. 2014. “Measured Data Verification of Energy Consumption in a Green Building for Building Energy Simulation Software eQUEST Model.” Building Energy Efficiency 42: 88–291.
   Google Scholar
• Jiao, L., S. Yang, F. Liu, S. Wang, and Z. Feng. 2016. “Seventy Years Review of Neural Networks: Retrospect and Prospect.” CHINESE JOURNAL OF COMPUTERS 39 (8): 1697–1716.
   Google Scholar
• Lin, Y., and S. Liu. 2000. “A Systemic Analysis with Data (II).” International Journal of General Systems 29 (6): 989–999. doi:10.1080/03081070008960982.
   Web of Science ®Google Scholar
• Martínez-Ibernón, A., C. Aparicio-Fernández, R. Royo-Pastor, and J. L. Vivancos. 2016. “Temperature and Humidity Transient Simulation and Validation in a Measured House without a HVAC System.” Energy and Buildings 131: 54–62. doi:10.1016/j.enbuild.2016.08.079.
   Web of Science ®Google Scholar
• MOHURD. 2012. “Evaluation Standard for Indoor Thermal Environment in Civil Buildings (GBT50785-2012).” Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD). (in Chinese)
   Google Scholar
• Sahar, A., M. N. SeyedMorteza, M. Hosein, G. Rohit, Z. Rong, and K. P. Shwar. 2021. “A gray-box Model for real-time Transient Temperature Predictions in Data Centers.” Applied Thermal Engineering 185: 116–319.
   Web of Science ®Google Scholar
• Sözer, H., and S. S. Aldin. 2019. “Predicting the Indoor Thermal Data for Heating Season Based on short-term Measurements to Calibrate the Simulation set-points.” Energy & Buildings 202: 1–11. doi:10.1016/j.enbuild.2019.109422.
   Web of Science ®Google Scholar
• Thananchai, L. 2008. “Grey Prediction on Indoor Comfort Temperature for HVAC Systems.” Expert Systems with Applications 34 (4): 2284–2289. doi:10.1016/j.eswa.2007.03.003.
   Web of Science ®Google Scholar
• Wang, W., L. Cai, and S. Wang. 2015. “Modelling and Analysis of Meteorological Factors’ Impact on Building Indoor Temperature.” Computer Simulation 32 (6): 338–343,372.
   Google Scholar
• Wang, S., P. Wang, and Y. Zhang. 2020. “A Prediction Method for Urban Heat Supply Based on Grey System Theory.” Sustainable Cities and Society 52: 101–819. doi:10.1016/j.scs.2019.101819.
   Web of Science ®Google Scholar
• Wu, Q., S. Wang, and Y. Yang. 2012. “Research the Deformation Prediction System of Foundation Pit Based on Grey Theory.” Applied Mechanics & Materials 170-173 (4): 170–173. doi:10.4028/scientific.net/AMM.170-173.174.
   Google Scholar
• Yang, Y., S. Liu, and G. Ying. 2015. “Building Energy Use Behavior Measuring and Recording Device for Distributed air-conditioned Space.” China Patent CN201510577821, November 11. (in Chinese)
   Google Scholar
• Zeng, B., C. Luo, S. Liu, Y. Bai, and C. Li. 2016. “Development of an Optimization Method for the GM(1,N) Model.” Engineering Applications of Artificial Intelligence 55 (2016): 353–362. doi:10.1016/j.engappai.2016.08.007.
   Google Scholar
• Zeng, B., X. Yin, and W. Meng. 2018. Practical Modelling Method of Grey Prediction and Programming in Matlab. Beijing: China science publishing & Media . (in Chinese)
   Google Scholar