Jean-Paul Watson
Jean-Paul Watson
Lawrence Livermore National Laboratory, Livermore, California, USA üzerinde doğrulanmış e-posta adresine sahip
Alıntı yapanlar
Alıntı yapanlar
DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 5.0 user's …
BM Adams, WJ Bohnhoff, KR Dalbey, JP Eddy, MS Eldred, DM Gay, ...
Sandia National Laboratories, Tech. Rep. SAND2010-2183, 2009
Pyomo-optimization modeling in python
WE Hart, CD Laird, JP Watson, DL Woodruff, GA Hackebeil, BL Nicholson, ...
Springer, 2017
The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms
A Ostfeld, JG Uber, E Salomons, JW Berry, WE Hart, CA Phillips, ...
Journal of Water Resources Planning and Management 134 (6), 556-568, 2008
Multi-stage robust unit commitment considering wind and demand response uncertainties
C Zhao, J Wang, JP Watson, Y Guan
IEEE Transactions on Power Systems 28 (3), 2708-2717, 2013
Pyomo: modeling and solving mathematical programs in Python
WE Hart, JP Watson, DL Woodruff
Mathematical Programming Computation 3 (3), 219-260, 2011
Sensor placement in municipal water networks
JW Berry, L Fleischer, WE Hart, CA Phillips, JP Watson
Journal of Water Resources Planning and Management 131 (3), 237-243, 2005
Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems
JP Watson, DL Woodruff
Computational Management Science 8 (4), 355-370, 2011
Sensor placement in municipal water networks with temporal integer programming models
J Berry, WE Hart, CA Phillips, JG Uber, JP Watson
Journal of water resources planning and management 132 (4), 218-224, 2006
Scheduling space–ground communications for the air force satellite control network
L Barbulescu, JP Watson, LD Whitley, AE Howe
Journal of Scheduling 7 (1), 7-34, 2004
Two-stage robust optimization for Nk contingency-constrained unit commitment
Q Wang, JP Watson, Y Guan
IEEE Transactions on Power Systems 28 (3), 2366-2375, 2013
A multiple-objective analysis of sensor placement optimization in water networks
JP Watson, HJ Greenberg, WE Hart
Critical transitions in water and environmental resources management, 1-10, 2004
PySP: modeling and solving stochastic programs in Python
JP Watson, DL Woodruff, WE Hart
Mathematical Programming Computation 4 (2), 109-149, 2012
Problem difficulty for tabu search in job-shop scheduling
JP Watson, JC Beck, AE Howe, LD Whitley
Artificial intelligence 143 (2), 189-217, 2003
Contrasting structured and random permutation flow-shop scheduling problems: search-space topology and algorithm performance
JP Watson, L Barbulescu, LD Whitley, AE Howe
INFORMS Journal on Computing 14 (2), 98-123, 2002
Ensuring profitability of energy storage
Y Dvorkin, R Fernandez-Blanco, DS Kirschen, H Pandžić, JP Watson, ...
IEEE Transactions on Power Systems 32 (1), 611-623, 2016
Obtaining lower bounds from the progressive hedging algorithm for stochastic mixed-integer programs
D Gade, G Hackebeil, SM Ryan, JP Watson, RJB Wets, DL Woodruff
Mathematical Programming 157 (1), 47-67, 2016
Toward scalable, parallel progressive hedging for stochastic unit commitment
SM Ryan, RJB Wets, DL Woodruff, C Silva-Monroy, JP Watson
2013 IEEE Power & Energy Society General Meeting, 1-5, 2013
A comparison of policies on the participation of storage in US frequency regulation markets
B Xu, Y Dvorkin, DS Kirschen, CA Silva-Monroy, JP Watson
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
Modeling and solving a large-scale generation expansion planning problem under uncertainty
S Jin, SM Ryan, JP Watson, DL Woodruff
Energy Systems 2 (3), 209-242, 2011
Conceptual framework for developing resilience metrics for the electricity oil and gas sectors in the United States
JP Watson, R Guttromson, C Silva-Monroy, R Jeffers, K Jones, J Ellison, ...
Sandia national laboratories, albuquerque, nm (united states), tech. rep, 2014
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Makaleler 1–20