| 1 |
Impact of urban block typology on building solar potential and energy use efficiency in tropical high-density city
Zhang J, Xu L, Shabunko V, Tay SER, Sun HX, Lau SSY, Reindl T
Applied Energy, 240, 513, 2019 |
| 2 |
Broadening human thermal comfort range based on short-term heat acclimation
Chong DK, Zhu N, Luo W, Zhang ZY
Energy, 176, 418, 2019 |
| 3 |
Effectiveness of cool walls on cooling load and urban temperature in a tropical climate
Nazarian N, Dumas N, Kleissl J, Norford L
Energy and Buildings, 187, 144, 2019 |
| 4 |
Incorporating machine learning with building network analysis to predict multi-building energy use
Xu XD, Wang W, Hong TZ, Chen JY
Energy and Buildings, 186, 80, 2019 |
| 5 |
A novel ensemble learning approach to support building energy use prediction
Wang ZY, Wang YR, Srinivasan RS
Energy and Buildings, 159, 109, 2018 |
| 6 |
Random Forest based hourly building energy prediction
Wang ZY, Wang YR, Zeng RC, Srinivasan RS, Ahrentzen S
Energy and Buildings, 171, 11, 2018 |
| 7 |
Hierarchical calibration of archetypes for urban building energy modeling
Kristensen MH, Hedegaard RE, Petersen S
Energy and Buildings, 175, 219, 2018 |
| 8 |
Development of thermal evaluation tool for detached houses in Mongolia
Tong JCK, Tse JMY, Jones PJ
Energy and Buildings, 173, 81, 2018 |
| 9 |
Modeling urban building energy use: A review of modeling approaches and procedures
Li WL, Zhou YY, Cetin K, Eom J, Wang Y, Chen G, Zhang XS
Energy, 141, 2445, 2017 |
| 10 |
Window frame thermal transmittance improvements without frame geometry variations: An experimentally validated CFD analysis
Lechowska AA, Schnotale JA, Baldinelli G
Energy and Buildings, 145, 188, 2017 |
