| The scheduling of alkaline water electrolysis for hydrogen production using hybrid energy sources Y Yang, B De La Torre, K Stewart, L Lair, NL Phan, R Das, D Gonzalez, ... Energy Conversion and Management 257, 115408, 2022 | 50 | 2022 |
| Integrated crude selection and refinery optimization under uncertainty Y Yang, PI Barton AIChE journal 62 (4), 1038-1053, 2016 | 37 | 2016 |
| Chance-constrained optimization for refinery blend planning under uncertainty Y Yang, P Vayanos, PI Barton Industrial & Engineering Chemistry Research 56 (42), 12139-12150, 2017 | 34 | 2017 |
| Linear matrix inequalities (LMIs) observer and controller design synthesis for parabolic PDE Y Yang, S Dubljevic European Journal of Control 20 (5), 227-236, 2014 | 31 | 2014 |
| A tighter cut generation strategy for acceleration of Benders decomposition Y Yang, JM Lee Computers & Chemical Engineering 44, 84-93, 2012 | 25 | 2012 |
| A robust model predictive control-based scheduling approach for electric vehicle charging with photovoltaic systems Y Yang, HG Yeh, R Nguyen IEEE Systems Journal 17 (1), 111-121, 2022 | 22 | 2022 |
| Feature extraction, selection, and K-nearest neighbors algorithm for shark behavior classification based on imbalanced dataset Y Yang, HG Yeh, W Zhang, CJ Lee, EN Meese, CG Lowe IEEE Sensors Journal 21 (5), 6429-6439, 2020 | 22 | 2020 |
| Chance-constrained optimization for nonconvex programs using scenario-based methods Y Yang, C Sutanto ISA transactions 90, 157-168, 2019 | 22 | 2019 |
| Refinery optimization integrated with a nonlinear crude distillation unit model Y Yang, PI Barton IFAC-PapersOnLine 48 (8), 205-210, 2015 | 19 | 2015 |
| Probabilistic modeling and dynamic optimization for performance improvement and risk management of plant-wide operation Y Yang, JM Lee Computers & Chemical Engineering 34 (4), 567-579, 2010 | 17 | 2010 |
| Min–max control using parametric approximate dynamic programming H Nosair, Y Yang, JM Lee Control Engineering Practice 18 (2), 190-197, 2010 | 16 | 2010 |
| Boundary model predictive control of thin film thickness modelled by the Kuramoto–Sivashinsky equation with input and state constraints Y Yang, S Dubljevic Journal of Process Control 23 (9), 1362-1379, 2013 | 14 | 2013 |
| Modeling and optimization of an alkaline water electrolysis for hydrogen production K Stewart, L Lair, B De La Torre, NL Phan, R Das, D Gonzalez, RC Lo, ... 2021 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2021 | 13 | 2021 |
| Optimal control methods for photovoltaic enabled grid with abnormal power loads Y Yang, HG Yeh, S Doan IEEE Systems Journal 14 (1), 852-861, 2019 | 13 | 2019 |
| Classification of shark behaviors using K-nearest neighbors S Karan, EN Meese, Y Yang, HG Yeh, CG Lowe, W Zhang 2019 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2019 | 12 | 2019 |
| Two-mode adaptive schemes for VAR control with solar power and energy storage S Doan, HG Yeh, Y Yang IEEE Systems Journal 14 (1), 889-899, 2019 | 12 | 2019 |
| A switching robust model predictive control approach for nonlinear systems Y Yang, JM Lee Journal of Process Control 23 (6), 852-860, 2013 | 12 | 2013 |
| Model predictive control via PV-based VAR scheme for power distribution systems with regular and unexpected abnormal loads Y Yang, HG Yeh, SH Doan IEEE Systems Journal 14 (1), 689-698, 2018 | 11 | 2018 |
| Predicting PV power generation using SVM regression R Nguyen, Y Yang, A Tohmeh, HG Yeh 2021 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-5, 2021 | 10 | 2021 |
| Deep convolutional neural networks for shark behavior analysis W Zhang, A Martinez, EN Meese, CG Lowe, Y Yang, HGH Yeh 2019 IEEE Green Energy and Smart Systems Conference (IGESSC), 1-6, 2019 | 10 | 2019 |
