| 1 |
Applicability of thermal response tests for assessing in-situ CO2 storage in a saline aquifer
Park CH, Lee SK, Lee C, Kim SK
Energy, 154, 210, 2018 |
| 2 |
Inverse energy model development via high-dimensional data analysis and sub-metering priority in building data monitoring
Chen Z, Freihaut J, Lin B, Wang CD
Energy and Buildings, 172, 116, 2018 |
| 3 |
Baseline building energy modeling of cluster inverse model by using daily energy consumption in office buildings
Ko JH, Kong DS, Huh JH
Energy and Buildings, 140, 317, 2017 |
| 4 |
Reconstructing building stock to replicate energy consumption data
Zhao F, Lee SH, Augenbroe G
Energy and Buildings, 117, 301, 2016 |
| 5 |
Tuning of the copper-zirconia phase boundary for selectivity control of methanol conversion
Mayr L, Shi XR, Kopfle N, Klotzer B, Zemlyanov DY, Penner S
Journal of Catalysis, 339, 111, 2016 |
| 6 |
The control of MSF desalination plants based on inverse model control by neural network
Tayyebi S, Alishiri M
Desalination, 333(1), 92, 2014 |
| 7 |
CO oxidation on inverse Fe2O3/Au(111) model catalysts
Yan T, Redman DW, Yu WY, Flaherty DW, Rodriguez JA, Mullins CB
Journal of Catalysis, 294, 216, 2012 |
| 8 |
Determination of the heat transfer coefficient and thermal conductivity for coconut kernels using an inverse method with a developed hemispherical shell model
Ramsaroop R, Persad P
Journal of Food Engineering, 110(1), 141, 2012 |
| 9 |
Identification of age-structured models: Cell cycle phase transitions
Sherer E, Tocce E, Hannemann RE, Rundell AE, Ramkrishnal D
Biotechnology and Bioengineering, 99(4), 960, 2008 |
| 10 |
An applied artificial intelligence approach towards assessing building performance simulation tools
Yezioro A, Dong B, Leite F
Energy and Buildings, 40(4), 612, 2008 |
