John Siirola
John Siirola
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Cited by
Cited by
Pyomo-optimization modeling in python
WE Hart, CD Laird, JP Watson, DL Woodruff, GA Hackebeil, BL Nicholson, ...
Springer, 2017
Pyomo-Optimization Modeling in Python 2nd Ed.
WE Hart, CD Laird, JP Watson, DL Woodruff, GA Hackebeil, BL Nicholson, ...
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), 2017
Pyomo—Optimization Modeling in Python
ML Bynum, GA Hackebeil, WE Hart, CD Laird, BL Nicholson, JD Siirola, ...
Springer Nature, 2021
pyomo.dae: a modeling and automatic discretization framework for optimization with differential and algebraic equations
B Nicholson, JD Siirola, JP Watson, VM Zavala, LT Biegler
Mathematical Programming Computation 10 (2), 187-223, 2018
A stochastic programming approach for gas detector placement using CFD-based dispersion simulations
SW Legg, AJ Benavides-Serrano, JD Siirola, JP Watson, SG Davis, ...
Computers & Chemical Engineering 47, 194-201, 2012
Mixed-integer linear programming models and algorithms for generation and transmission expansion planning of power systems
C Li, AJ Conejo, P Liu, BP Omell, JD Siirola, IE Grossmann
European Journal of Operational Research 297 (3), 1071-1082, 2022
Operation of high-speed silicon photonic micro-disk modulators at cryogenic temperatures
M Gehl, C Long, D Trotter, A Starbuck, A Pomerene, JB Wright, ...
Optica 4 (3), 374-382, 2017
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
Toward agent-based process systems engineering: Proposed framework and application to non-convex optimization
JD Siirola, S Hauan, AW Westerberg
Computers & chemical engineering 27 (12), 1801-1811, 2003
Electric power infrastructure planning under uncertainty: stochastic dual dynamic integer programming (SDDiP) and parallelization scheme
CL Lara, JD Siirola, IE Grossmann
Optimization and Engineering 21 (4), 1243-1281, 2020
Computing Pareto fronts using distributed agents
JD Siirola, S Hauan, AW Westerberg
Computers & chemical engineering 29 (1), 113-126, 2004
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
A multi-paradigm modeling framework for energy systems simulation and analysis
BMS Hodge, S Huang, JD Siirola, JF Pekny, GV Reklaitis
Computers & Chemical Engineering 35 (9), 1725-1737, 2011
Pyomo. GDP: an ecosystem for logic based modeling and optimization development
Q Chen, ES Johnson, DE Bernal, R Valentin, S Kale, J Bates, JD Siirola, ...
Optimization and Engineering 23 (1), 607-642, 2022
On representative day selection for capacity expansion planning of power systems under extreme operating conditions
C Li, AJ Conejo, JD Siirola, IE Grossmann
International Journal of Electrical Power & Energy Systems 137, 107697, 2022
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
Evaluating Moving Target Defense with PLADD.
S Jones, A Outkin, J Gearhart, J Hobbs, J Siirola, C Phillips, S Verzi, ...
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States), 2015
Pyomo. gdp: Disjunctive models in python
Q Chen, ES Johnson, JD Siirola, IE Grossmann
Computer Aided Chemical Engineering 44, 889-894, 2018
Multiscale simulation of integrated energy system and electricity market interactions
X Gao, B Knueven, JD Siirola, DC Miller, AW Dowling
Applied Energy 316, 119017, 2022
Pyosyn: a new framework for conceptual design modeling and optimization
Q Chen, Y Liu, G Seastream, JD Siirola, IE Grossmann
Computers & Chemical Engineering, 107414, 2021
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