| 1 |
Knowledge discovery of data-driven-based fault diagnostics for building energy systems: A case study of the building variable refrigerant flow system
Liu JY, Li GN, Liu B, Li KN, Chen HX
Energy, 174, 873, 2019 |
| 2 |
Data mining and clustering in chemical process databases for monitoring and knowledge discovery
Thomas MC, Zhu WB, Romagnoli JA
Journal of Process Control, 67, 160, 2018 |
| 3 |
Generation of realistic scenarios for multi-agent simulation of electricity markets
Silva F, Teixeira B, Pinto T, Santos G, Vale Z, Praca I
Energy, 116, 128, 2016 |
| 4 |
Temporal knowledge discovery in big BAS data for building energy management
Fan C, Xiao F, Madsen H, Wang D
Energy and Buildings, 109, 75, 2015 |
| 5 |
Data cleaning in the process industries
Xu S, Lu B, Baldea M, Edgar TF, Wojsznis W, Blevins T, Nixon M
Reviews in Chemical Engineering, 31(5), 453, 2015 |
| 6 |
A novel methodology for knowledge discovery through mining associations between building operational data
Yu Z, Haghighat F, Fung BCM, Zhou L
Energy and Buildings, 47, 430, 2012 |
| 7 |
A model for acquisition of implicit design knowledge based on KDD
Li JM, Yao J, Liu YM
Materials Science Forum, 505-507, 505, 2006 |
| 8 |
Process design optimisation using embedded hybrid visualisation and data analysis techniques within a genetic algorithm optimisation framework
Wang K, Salhi A, Fraga ES
Chemical Engineering and Processing, 43(5), 657, 2004 |
| 9 |
Multilevel PCA and inductive learning for knowledge extraction from operational data of batch processes
Yuan B, Wang XZ
Chemical Engineering Communications, 185, 201, 2001 |
