| 1 |
Simulating the impact of occupant behavior on energy use of HVAC systems by implementing a behavioral artificial neural network model
Deng ZP, Chen QY
Energy and Buildings, 198, 216, 2019 |
| 2 |
Energy consumption and energy saving potential in clothing industry
Cay A
Energy, 159, 74, 2018 |
| 3 |
Thermal comfort in naturally ventilated office buildings in cold and cloudy climate of Darjeeling, India - An adaptive approach
Thapa S, Bansal AK, Panda GK
Energy and Buildings, 160, 44, 2018 |
| 4 |
Residential adaptive adaptive comfort in a humid continental climate - Tianjin China
Song YR, Sun YX, Luo SG, Tian Z, Hou J, Kim J, Parkinson T, de Dear R
Energy and Buildings, 170, 115, 2018 |
| 5 |
In-situ real time measurements of thermal comfort and comparison with the adaptive comfort theory in Dutch residential dwellings
Ioannou A, Itard L, Agarwal T
Energy and Buildings, 170, 229, 2018 |
| 6 |
Personal cooling strategies to improve thermal comfort in warm indoor environments: Comparison of a conventional desk fan and air ventilation clothing
Udayraj, Li ZQ, Ke Y, Wang FM, Yang B
Energy and Buildings, 174, 439, 2018 |
| 7 |
Artificial neural network models using thermal sensations and occupants' behavior for predicting thermal comfort
Deng ZP, Chen QY
Energy and Buildings, 174, 587, 2018 |
| 8 |
Adaptive thermal comfort in the different buildings of Darjeeling Hills in eastern India - Effect of difference in elevation
Thapa S, Bansal AK, Panda GK, Indraganti M
Energy and Buildings, 173, 649, 2018 |
| 9 |
Numerical analysis of the flow and heat transfer in cylindrical clothing microclimates - Influence of the microclimate thickness ratio
Santos MS, Oliveira D, Campos JBLM, Mayor TS
International Journal of Heat and Mass Transfer, 117, 71, 2018 |
| 10 |
Modeling steam heat transfer in thermal protective clothing under hot steam exposure
Su Y, Li R, Song GW, Li J, Xiang CH
International Journal of Heat and Mass Transfer, 120, 818, 2018 |
