| 1 |
Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network
He YY, Qin Y, Wang S, Wang X, Wang C
Applied Energy, 233, 565, 2019 |
| 2 |
Fault detection in batch processes through variable selection integrated to multiway principal component analysis
Peres FAP, Peres TN, Fogliatto FS, Anzanello MJ
Journal of Process Control, 80, 223, 2019 |
| 3 |
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 |
| 4 |
Compressive sparse principal component analysis for process supervisory monitoring and fault detection
Liu Y, Zhang GS, Xu BY
Journal of Process Control, 50, 1, 2017 |
| 5 |
ISNCA: A new iterative approach for constrained matrix factorization methods
Jayavelu ND, Bar N
Journal of Process Control, 60, 24, 2017 |
| 6 |
A Systematic Comparison of PCA-based Statistical Process Monitoring Methods for High-dimensional, Time-dependent Processes
Rato T, Reis M, Schmitt E, Hubert M, De Ketelaere B
AIChE Journal, 62(5), 1478, 2016 |
