| Pyomo-optimization modeling in python WE Hart, CD Laird, JP Watson, DL Woodruff, GA Hackebeil, BL Nicholson, ... Springer 67, 277, 2017 | 1444 | 2017 |
| Pyomo: modeling and solving mathematical programs in Python WE Hart, JP Watson, DL Woodruff Mathematical Programming Computation 3, 219-260, 2011 | 1196 | 2011 |
| 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 | 675 | 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 | 627 | 2013 |
| Pyomo-optimization modeling in python ML Bynum, GA Hackebeil, WE Hart, CD Laird, BL Nicholson, JD Siirola, ... Springer 67 (s 32), 2021 | 456 | 2021 |
| Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems JP Watson, DL Woodruff Computational Management Science 8, 355-370, 2011 | 428 | 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 | 387 | 2005 |
| 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 | 335 | 2006 |
| Scheduling space–ground communications for the air force satellite control network L Barbulescu, JP Watson, LD Whitley, AE Howe Journal of Scheduling 7, 7-34, 2004 | 285 | 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 | 251 | 2013 |
| The IEEE reliability test system: A proposed 2019 update C Barrows, A Bloom, A Ehlen, J Ikäheimo, J Jorgenson, D Krishnamurthy, ... IEEE Transactions on Power Systems 35 (1), 119-127, 2019 | 220 | 2019 |
| 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, 47-67, 2016 | 214 | 2016 |
| 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 | 212 | 2014 |
| 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 | 206 | 2016 |
| PySP: modeling and solving stochastic programs in Python JP Watson, DL Woodruff, WE Hart Mathematical Programming Computation 4, 109-149, 2012 | 183 | 2012 |
| 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 | 176 | 2004 |
| On mixed-integer programming formulations for the unit commitment problem B Knueven, J Ostrowski, JP Watson INFORMS Journal on Computing 32 (4), 857-876, 2020 | 167 | 2020 |
| 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 | 158 | 2002 |
| Problem difficulty for tabu search in job-shop scheduling JP Watson, JC Beck, AE Howe, LD Whitley Artificial intelligence 143 (2), 189-217, 2003 | 153 | 2003 |
| 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 | 152 | 2016 |
David L WoodruffProfessor of Management, University of California Davis在 ucdavis.edu 的电子邮件经过验证
