Artykuły udostępnione publicznie: - Carl LairdWięcej informacji
Niedostępne w żadnym miejscu: 5
The unit commitment problem with AC optimal power flow constraints
A Castillo, C Laird, CA Silva-Monroy, JP Watson, RP O’Neill
IEEE Transactions on Power Systems 31 (6), 4853-4866, 2016
Upoważnienia: US Department of Energy
Efficient parallel solution of large-scale nonlinear dynamic optimization problems
DP Word, J Kang, J Akesson, CD Laird
Computational Optimization and Applications 59, 667-688, 2014
Upoważnienia: US Department of Energy, Swedish Research Council
Next generation multi-scale process systems engineering framework
DC Miller, JD Siirola, D Agarwal, AP Burgard, A Lee, JC Eslick, ...
Computer Aided Chemical Engineering 44, 2209-2214, 2018
Upoważnienia: US Department of Energy
Optimization of process families for deployment of carbon capture processes using machine learning surrogates
G Stinchfield, BL Ammari, JC Morgan, JD Siirola, M Zamarripa, CD Laird
Computer aided chemical engineering 52, 1331-1337, 2023
Upoważnienia: US Department of Energy
Efficient reduction of optimal disinfectant booster station placement formulations for security of large-scale water distribution networks
A Seth, GA Hackebeil, KA Klise, T Haxton, R Murray, CD Laird
Engineering Optimization 49 (8), 1281-1298, 2017
Upoważnienia: US Department of Energy
Dostępne w jakimś miejscu: 41
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
Upoważnienia: US Department of Energy, UK Engineering and Physical Sciences Research Council
The IDAES process modeling framework and model library—Flexibility for process simulation and optimization
A Lee, JH Ghouse, JC Eslick, CD Laird, JD Siirola, MA Zamarripa, ...
Journal of advanced manufacturing and processing 3 (3), e10095, 2021
Upoważnienia: US Department of Energy
Perspectives on the integration between first-principles and data-driven modeling
W Bradley, J Kim, Z Kilwein, L Blakely, M Eydenberg, J Jalvin, C Laird, ...
Computers & Chemical Engineering 166, 107898, 2022
Upoważnienia: US National Science Foundation, US Department of Energy
Global solution strategies for the network-constrained unit commitment problem with AC transmission constraints
J Liu, CD Laird, JK Scott, JP Watson, A Castillo
IEEE Transactions on Power Systems 34 (2), 1139-1150, 2018
Upoważnienia: US Department of Energy
Effect of specific non-pharmaceutical intervention policies on SARS-CoV-2 transmission in the counties of the United States
B Yang, AT Huang, B Garcia-Carreras, WE Hart, A Staid, MDT Hitchings, ...
Nature communications 12 (1), 3560, 2021
Upoważnienia: US Department of Energy, US Department of Defense, US National Institutes of …
Testing contamination source identification methods for water distribution networks
A Seth, KA Klise, JD Siirola, T Haxton, CD Laird
Journal of Water Resources Planning and Management 142 (4), 04016001, 2016
Upoważnienia: US Department of Energy
Tightening McCormick relaxations toward global solution of the ACOPF problem
M Bynum, A Castillo, JP Watson, CD Laird
IEEE Transactions on Power Systems 34 (1), 814-817, 2018
Upoważnienia: US Department of Energy
An optimization-based framework to define the probabilistic design space of pharmaceutical processes with model uncertainty
D Laky, S Xu, JS Rodriguez, S Vaidyaraman, S García Muñoz, C Laird
Processes 7 (2), 96, 2019
Upoważnienia: US Department of Energy
Nonlinear programming strategies on high-performance computers
J Kang, N Chiang, CD Laird, VM Zavala
2015 54th IEEE Conference on Decision and Control (CDC), 4612-4620, 2015
Upoważnienia: US Department of Energy
Robust state estimation of feeding–blending systems in continuous pharmaceutical manufacturing
J Liu, Q Su, M Moreno, C Laird, Z Nagy, G Reklaitis
Chemical Engineering Research and Design 134, 140-153, 2018
Upoważnienia: US National Science Foundation, US Department of Energy
Benchmarking ADMM in nonconvex NLPs
JS Rodriguez, B Nicholson, C Laird, VM Zavala
Computers & Chemical Engineering 119, 315-325, 2018
Upoważnienia: US Department of Energy
Real-time feasible multi-objective optimization based nonlinear model predictive control of particle size and shape in a batch crystallization process
Y Cao, D Acevedo, ZK Nagy, CD Laird
Control Engineering Practice 69, 1-8, 2017
Upoważnienia: US National Science Foundation, US Department of Energy
An augmented Lagrangian interior-point approach for large-scale NLP problems on graphics processing units
Y Cao, A Seth, CD Laird
Computers & Chemical Engineering 85, 76-83, 2016
Upoważnienia: US National Science Foundation
A multitree approach for global solution of ACOPF problems using piecewise outer approximations
J Liu, M Bynum, A Castillo, JP Watson, CD Laird
Computers & Chemical Engineering 114, 145-157, 2018
Upoważnienia: US Department of Energy
Clustering-based preconditioning for stochastic programs
Y Cao, CD Laird, VM Zavala
Computational optimization and applications 64, 379-406, 2016
Upoważnienia: US National Science Foundation, US Department of Energy
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