| 1 |
A novel interval forecasting system for uncertainty modeling based on multi-input multi-output theory: A case study on modern wind stations
Liu TX, Zhao QJ, Wang JZ, Gao YY
Renewable Energy, 163, 88, 2021 |
| 2 |
Feature selection for CIE standard sky classification
Granados-Lopez D, Suarez-Garcia A, Diez-Mediavilla M, Alonso-Tristan C
Solar Energy, 218, 95, 2021 |
| 3 |
Computational screening of potential regulators for mRNA-protein expression level discrepancy
Wu XB, Zhao WQ, Cui QH, Zhou Y
Biochemical and Biophysical Research Communications, 523(1), 196, 2020 |
| 4 |
Hydrogen fuel cell diagnostics using random forest and enhanced feature selection
Lin RH, Pei ZX, Ye ZZ, Guo CC, Wu BD
International Journal of Hydrogen Energy, 45(17), 10523, 2020 |
| 5 |
A GRU Network-Based Approach for Steam Drum Water Level Predictions
Ma Y, Li HG
Journal of Chemical Engineering of Japan, 53(5), 198, 2020 |
| 6 |
Line-line fault detection and classification for photovoltaic systems using ensemble learning model based on I-V characteristics
Eskandari A, Milimonfared J, Aghaei M
Solar Energy, 211, 354, 2020 |
| 7 |
A nonlinear support vector machine-based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process
Onel M, Kieslich CA, Pistikopoulos EN
AIChE Journal, 65(3), 992, 2019 |
| 8 |
The feasibility and importance of considering climate change impacts in building retrofit analysis
Shen PY, Braham W, Yi Y
Applied Energy, 233, 254, 2019 |
| 9 |
Machine learning-based adaptive model identification of systems: Application to a chemical process
Bhadriraju B, Narasingam A, Kwon JSI
Chemical Engineering Research & Design, 152, 372, 2019 |
| 10 |
Using correlation based adaptive LASSO algorithm to develop QSPR of antitumour agents for DNA-drug binding prediction
Datta S, Dev VA, Eden MR
Computers & Chemical Engineering, 122, 258, 2019 |
