| A review of sensitivity analysis methods in building energy analysis W Tian Renewable and Sustainable Energy Reviews 20, 411-419, 2013 | 582 | 2013 |
| A review of uncertainty analysis in building energy assessment W Tian, Y Heo, P De Wilde, Z Li, D Yan, CS Park, X Feng, G Augenbroe Renewable and Sustainable Energy Reviews 93, 285-301, 2018 | 149 | 2018 |
| Influence of a building's integrated-photovoltaics on heating and cooling loads Y Wang, W Tian, J Ren, L Zhu, Q Wang Applied energy 83 (9), 989-1003, 2006 | 140 | 2006 |
| Uncertainty and sensitivity analysis of building performance using probabilistic climate projections: A UK case study W Tian, P De Wilde Automation in Construction, 2011 | 139 | 2011 |
| Predicting the performance of an office under climate change: A study of metrics, sensitivity and zonal resolution P De Wilde, W Tian Energy and Buildings 42 (10), 1674-1684, 2010 | 109 | 2010 |
| A Probabilistic Energy Model for Non-Domestic Building Sectors Applied to Analysis of School Buildings in Greater London DW Tian, DR Choudhary Energy and Buildings, 2012 | 104 | 2012 |
| Effect of urban climate on building integrated photovoltaics performance W Tian, Y Wang, J Ren, L Zhu Energy conversion and management 48 (1), 1-8, 2007 | 96 | 2007 |
| Identification of key factors for uncertainty in the prediction of the thermal performance of an office building under climate change P de Wilde, W Tian Building Simulation 2 (3), 157-174, 2009 | 94 | 2009 |
| Technology development of photovoltaic concentrator system T Wei, W Yiping, H Lijun, L Yonghui, Z Jinli Acta Energiae Solaris Sinica 26 (4), 597, 2005 | 64* | 2005 |
| Longitudinal prediction of the operational energy use of buildings P de Wilde, W Tian, G Augenbroe Building and Environment, 2011 | 63 | 2011 |
| Bootstrap techniques for sensitivity analysis and model selection in building thermal performance analysis W Tian, J Song, Z Li, P de Wilde Applied Energy 135, 320-328, 2014 | 59 | 2014 |
| Identifying informative energy data in Bayesian calibration of building energy models W Tian, S Yang, Z Li, S Wei, W Pan, Y Liu Energy and Buildings 119, 363-376, 2016 | 55 | 2016 |
| Management of thermal performance risks in buildings subject to climate change P de Wilde, W Tian Building and Environment, 2012 | 53 | 2012 |
| Spatial regression analysis of domestic energy in urban areas W Tian, J Song, Z Li Energy 76, 629-640, 2014 | 52 | 2014 |
| Effect of building integrated photovoltaics on microclimate of urban canopy layer W Tian, Y Wang, Y Xie, D Wu, L Zhu, J Ren Building and environment 42 (5), 1891-1901, 2007 | 50 | 2007 |
| Importance analysis and meta-model construction with correlated variables in evaluation of thermal performance of campus buildings W Tian, R Choudhary, G Augenbroe, SH Lee Building and Environment 92, 61-74, 2015 | 45 | 2015 |
| Household electricity use, electric vehicle home-charging and distributed photovoltaic power production in the city of Westminster J Munkhammar, JDK Bishop, JJ Sarralde, W Tian, R Choudhary Energy and Buildings 86, 439-448, 2015 | 42 | 2015 |
| Comparative study on machine learning for urban building energy analysis L Wei, W Tian, EA Silva, R Choudhary, QX Meng, S Yang Procedia Engineering 121, 285-292, 2015 | 39 | 2015 |
| The role of adaptive thermal comfort in the prediction of the thermal performance of a modern mixed-mode office building in the UK under climate change P de Wilde, W Tian Journal of Building Performance Simulation 3 (2), 87-101, 2010 | 37 | 2010 |
| Towards probabilistic performance metrics for climate change impact studies P de Wilde, W Tian Energy and Buildings 43 (11), 3013-3018, 2011 | 33 | 2011 |
Pieter de WildePlymouth UniversityVerified email at plymouth.ac.uk
