| 1 |
New insight about the relationship between the main characteristics of precursor materials and activated carbon properties using multivariate analysis
Santos MPF, da Silva JF, Fontan RDI, Bonomo RCF, Santos LS, Veloso CM
Canadian Journal of Chemical Engineering, 98(7), 1501, 2020 |
| 2 |
Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression
Diaz G, Coto J, Gomez-Aleixandre J
Applied Energy, 239, 610, 2019 |
| 3 |
Energy modeling using an effective latent variable based functional link learning machine
Zhang XH, Zhu QX, He YL, Xu Y
Energy, 162, 883, 2018 |
| 4 |
Improvement of energy performance metrics for the retrofit of the built environment. Adaptation to climate change and mitigation of energy poverty
Filippin C, Larsen SF, Ricard F
Energy and Buildings, 165, 399, 2018 |
| 5 |
Using principal component analysis technique in the instrumental shade sorting of textile fabrics
Hasanlou E, Izadan H, Khalili H
Color Research and Application, 42(5), 599, 2017 |
| 6 |
Multimode Monitoring of Oxy-Gas Combustion Through Flame Imaging, Principal Component Analysis, and Kernel Support Vector Machine
Bai XJ, Lu G, Hossain MM, Yan Y, Liu S
Combustion Science and Technology, 189(5), 776, 2017 |
| 7 |
The energy efficiency behaviour of individuals in large organisations: A case study of a major UK infrastructure operator
Zierler R, Wehrmeyer W, Murphy R
Energy Policy, 104, 38, 2017 |
| 8 |
Multi-mode combustion process monitoring on a pulverised fuel combustion test facility based on flame imaging and random weight network techniques
Bai XJ, Lu G, Hossain MM, Szuhanszki J, Daood SS, Nimmo W, Yan Y, Pourkashanian M
Fuel, 202, 656, 2017 |
| 9 |
Assessing the determinants of SIDS' pattern toward sustainability: A statistical analysis
Romano AA, Scandurra G, Carfora A, Pansini RV
Energy Policy, 98, 688, 2016 |
| 10 |
Application of multivariate accelerated test for the shelf life estimation of fresh-cut lettuce
Derossi A, Mastrandrea L, Amodio ML, de Chiara MLV, Colelli G
Journal of Food Engineering, 169, 122, 2016 |
