| 1 |
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Liu H, Chen C
Applied Energy, 249, 392, 2019 |
| 2 |
Fast identification of power change rate of PEM fuel cell based on data dimensionality reduction approach
Zeng T, Zhang CZ, Huang ZY, Liu H, Chan SH, Chen JR, Li RJ, Zhou AJ
International Journal of Hydrogen Energy, 44(38), 21101, 2019 |
| 3 |
China's large-scale hydropower system: operation characteristics, modeling challenge and dimensionality reduction possibilities
Feng ZK, Niu WJ, Cheng CT
Renewable Energy, 136, 805, 2019 |
| 4 |
Approximate model predictive building control via machine learning
Drgona J, Picard D, Kvasnica M, Helsen L
Applied Energy, 218, 199, 2018 |
| 5 |
Statistical process monitoring based on nonlocal and multiple neighborhoods preserving embedding model
Tong CD, Lan T, Shi XH, Chen YW
Journal of Process Control, 65, 34, 2018 |
| 6 |
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 |
| 7 |
Ultrafast electron diffraction study of single-crystal (EDO-TTF)(2)SbF6: Counterion effect and dimensionality reduction
Liu LC, Jiang YF, Mueller-Werkmeister HM, Lu C, Moriena G, Ishikawa M, Nakano Y, Yamochi H, Miller RJD
Chemical Physics Letters, 683, 160, 2017 |
| 8 |
Hydropower system operation optimization by discrete differential dynamic programming based on orthogonal experiment design
Feng ZK, Niu WJ, Cheng CT, Liao SL
Energy, 126, 720, 2017 |
| 9 |
Optimization of hydropower system operation by uniform dynamic programming for dimensionality reduction
Feng ZK, Niu WJ, Cheng CT, Wu XY
Energy, 134, 718, 2017 |
| 10 |
Fault detection of process correlation structure using canonical variate analysis-based correlation features
Jiang BB, Braatz RD
Journal of Process Control, 58, 131, 2017 |
