| 1 |
Data fusion in predicting internal heat gains for office buildings through a deep learning approach
Wang Z, Hong TZ, Piette MA
Applied Energy, 240, 386, 2019 |
| 2 |
The evaluation of electricity generation resources: The case of Turkey
Topcu I, Ulengin F, Kabak O, Isik M, Unver B, Ekici SO
Energy, 167, 417, 2019 |
| 3 |
Predicting plug loads with occupant count data through a deep learning approach
Wang Z, Hong TZ, Piette MA
Energy, 181, 29, 2019 |
| 4 |
An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data
Casquero-Modrego N
Energy and Buildings, 198, 138, 2019 |
| 5 |
An inverse approach to solving zone air infiltration rate and people count using indoor environmental sensor data
Li H, Hong TZ, Sofos M
Energy and Buildings, 198, 228, 2019 |
| 6 |
Policy stringency under the European Union Emission trading system and its impact on technological change in the energy sector
Bel G, Joseph S
Energy Policy, 117, 434, 2018 |
| 7 |
Changes in airborne fungal flora along an urban to rural gradient
Lin WR, Wang PH, Tien CJ, Chen WY, Yu YA, Hsu LY
Journal of Aerosol Science, 116, 116, 2018 |
| 8 |
A rapid method on identifying disqualified raw goat's milk based on total bacterial count by using dielectric spectra
Zhu ZZ, Zhu XH, Kong FR, Guo WC
Journal of Food Engineering, 239, 40, 2018 |
| 9 |
A framework for identification of maintenance significant items in reliability centered maintenance
Tang Y, Liu QY, Jing JJ, Yang Y, Zou ZW
Energy, 118, 1295, 2017 |
| 10 |
Effects of policies on patenting in wind-power technologies
Schleich J, Walz R, Ragwitz M
Energy Policy, 108, 684, 2017 |
