Theo dõi
Calvin Tsay
Calvin Tsay
Imperial College London, Department of Computing
Email được xác minh tại imperial.ac.uk - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Modeling, state estimation, and optimal control for the US COVID-19 outbreak
C Tsay, F Lejarza, MA Stadtherr, M Baldea
Scientific Reports 10 (1), 1-12, 2020
1862020
Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models
C Tsay, A Kumar, J Flores-Cerrillo, M Baldea
Computers & Chemical Engineering 126, 22-34, 2019
1072019
OMLT: Optimization & machine learning toolkit
F Ceccon, J Jalving, J Haddad, A Thebelt, C Tsay, CD Laird, R Misener
Journal of Machine Learning Research 23 (349), 1-8, 2022
1042022
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks
C Tsay, J Kronqvist, A Thebelt, R Misener
Advances in Neural Information Processing Systems 34, 2021
922021
A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units
LS Dias, RC Pattison, C Tsay, M Baldea, MG Ierapetritou
Computers & Chemical Engineering 113, 139-151, 2018
902018
Maximizing information from chemical engineering data sets: Applications to machine learning
A Thebelt, J Wiebe, J Kronqvist, C Tsay, R Misener
Chemical Engineering Science 252, 117469, 2022
792022
The integration of scheduling and control: Top-down vs. bottom-up
A Caspari, C Tsay, A Mhamdi, M Baldea, A Mitsos
Journal of Process Control 91, 50-62, 2020
722020
110th Anniversary: Using Data to Bridge the Time and Length Scales of Process Systems
C Tsay, M Baldea
Industrial & Engineering Chemistry Research 58 (36), 16696-16708, 2019
472019
A survey of optimal process design capabilities and practices in the chemical and petrochemical industries
C Tsay, RC Pattison, MR Piana, M Baldea
Computers & Chemical Engineering 112, 180-189, 2018
452018
Integrating production scheduling and process control using latent variable dynamic models
C Tsay, M Baldea
Control Engineering Practice 94, 104201, 2020
442020
Rate-based modeling and economic optimization of next-generation amine-based carbon capture plants
C Tsay, RC Pattison, Y Zhang, GT Rochelle, M Baldea
Applied Energy 252, 113379, 2019
442019
Pseudo-transient models for multiscale, multiresolution simulation and optimization of intensified reaction/separation/recycle processes: Framework and a dimethyl ether …
RC Pattison, C Tsay, M Baldea
Computers & Chemical Engineering 105, 161-172, 2016
442016
When deep learning meets polyhedral theory: A survey
J Huchette, G Muñoz, T Serra, C Tsay
arXiv preprint arXiv:2305.00241, 2023
402023
Rate-based process optimization and sensitivity analysis for ionic-liquid-based post-combustion carbon capture
K Seo, C Tsay, B Hong, TF Edgar, MA Stadtherr, M Baldea
ACS Sustainable Chemistry & Engineering 8 (27), 10242-10258, 2020
362020
Equation-oriented simulation and optimization of process flowsheets incorporating detailed spiral-wound multistream heat exchanger models
C Tsay, RC Pattison, M Baldea
AIChE Journal 63 (9), 3778-3789, 2017
332017
A pseudo‐transient optimization framework for periodic processes: Pressure swing adsorption and simulated moving bed chromatography
C Tsay, RC Pattison, M Baldea
AIChE Journal 64 (8), 2982-2996, 2017
312017
Multi-objective constrained optimization for energy applications via tree ensembles
A Thebelt, C Tsay, RM Lee, N Sudermann-Merx, D Walz, T Tranter, ...
Applied Energy 306, 118061, 2022
302022
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization
JP Folch, RM Lee, B Shafei, D Walz, C Tsay, M van der Wilk, R Misener
Computers & Chemical Engineering 172, 108194, 2023
292023
Economic optimization of carbon capture processes using ionic liquids: toward flexibility in capture rate and feed composition
K Seo, C Tsay, TF Edgar, MA Stadtherr, M Baldea
ACS Sustainable Chemistry & Engineering 9 (13), 4823-4839, 2021
212021
Data-driven models and algorithms for demand response scheduling of air separation units
C Tsay, M Baldea, J Shi, A Kumar, J Flores-Cerrillo
Computer Aided Chemical Engineering 44, 1273-1278, 2018
212018
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