论文: |
[1] Y. Ruan, J. Cao, F. Feng, Z. Li, The role of occupant behavior in low carbon oriented residential community planning: a case study in Qingdao, Energy and Buildings 139 (2017) 385-394 [2] X. Wang, Z. Li, H. Meng, Identification of key energy efficiency drivers through global city benchmarking: a data driven approach, Applied Energy 190 (2017) 18-28. [3] F. Feng, Z. Li, Y. Ruan, An empirical study of influencing factors on residential building energy consumption in Qingdao city, China, Energy Procedia 104 (2016) 245-250. [4] Z. Li, S. J. Quan, P. P. Yang, Energy performance simulation for planning a low carbon neighborhood urban district: a case study in the city of Macau, Habitat International 53 (2016) 206-214. [5] Z. Li, G. Huang, Y. Sun, Stochastic chiller sequencing control, Energy and Buildings 84 (2014) 203-213. (SCI) [6] Z. Li, G. Huang, A Hybrid Technique to Reduce the Impact of Measurement Uncertainty in HVAC Systems, HVAC&R Research 20 (2014) 581-591. (SCI) [7] Z. Li, Y. Han, P. Xu, Methods for benchmarking building energy consumption against its past or intended performance: An overview, Applied Energy 124 (2014) 325-334. (SCI) [8] B. Dong, Z. O’Neill, Z. Li, A BIM-enabled information infrastructure for building energy Fault Detection and Diagnostics, Automation in Construction 44 (2014) 197-211. (SCI) [9] P. Zhou, G. Huang, Z. Li, Demand-based temperature control of large-scale rooms aided by wireless sensor network: energy saving potential analysis, Energy and Buildings 68 (2014) 532-540. (SCI) [10] Y. Sun, G. Huang, Z. Li, Multiplexed optimization for complex air conditioning systems, Building and Environment 65 (2013) 99-108. (SCI) [11] Z. Li, G. Huang, Preventive approach to determine sensor importance and maintenance requirements, Automation in Construction 31 (2013) 307-312. (SCI) [12] Z. Li, G. Huang, Re-evalulation of building cooling load prediction models for use in humid subtropical area, Energy and Buildings 62 (2013) 442-449. (SCI) [13] Z. Li, C. J. J. Paredis, G. Augenbroe, et al., A rule augmented statistical method for air-conditioning system fault detection and diagnostics, Energy and Buildings 54 (2012) 154-159. (SCI) [14] Z. Li, C. J. J. Paredis, G. Augenbroe, Using CUSUM method to detect faults in secondary HVAC systems, ASHRAE Transactions 118 (1) (2012) 151-158. (ISTP) |