| 1 |
Comparison of the linear regression, multinomial logit, and ordered probability models for predicting the distribution of thermal sensation
Lai DY, Chen C
Energy and Buildings, 188, 269, 2019 |
| 2 |
Outdoor thermal comfort and summer PET range: A field study in tropical city Dhaka
Sharmin T, Steemers K, Humphreys M
Energy and Buildings, 198, 149, 2019 |
| 3 |
Estimated thermal sensation models by physiological parameters during wind chill stimulation in the indoor environment
Cheng CC, Lee D, Huang BS
Energy and Buildings, 172, 337, 2018 |
| 4 |
An ordered probability model for predicting outdoor thermal comfort
Lai DY, Chen CM, Liu W, Shi YF, Chen C
Energy and Buildings, 168, 261, 2018 |
| 5 |
Impact of urban morphology on microclimate and thermal comfort in northern China
Tong SS, Wong NH, Tan CL, Jusuf SK, Ignatius M, Tan EN
Solar Energy, 155, 212, 2017 |
| 6 |
Outdoor space quality: A field study in an urban residential community in central China
Lai DY, Zhou CB, Huang JX, Jiang Y, Long ZW, Chen QY
Energy and Buildings, 68, 713, 2014 |
| 7 |
Thermal comfort assessment of large-scale hospitals in tropical climates: A case study of University Kebangsaan Malaysia Medical Centre (UKMMC)
Azizpour F, Moghimi S, Salleh E, Mat S, Lim CH, Sopian K
Energy and Buildings, 64, 317, 2013 |
