Multiphysics simulations: Challenges and opportunities DE Keyes, LC McInnes, C Woodward, W Gropp, E Myra, M Pernice, J Bell, ... The International Journal of High Performance Computing Applications 27 (1 …, 2013 | 511 | 2013 |
A computational framework for uncertainty quantification and stochastic optimization in unit commitment with wind power generation EM Constantinescu, VM Zavala, M Rocklin, S Lee, M Anitescu IEEE Transactions on Power Systems 26 (1), 431-441, 2010 | 327 | 2010 |
PETSc/TAO users manual S Balay, S Abhyankar, MF Adams, S Benson, J Brown, P Brune, ... Argonne National Laboratory, Illinois, 2022 | 290 | 2022 |
Flexible operation of batteries in power system scheduling with renewable energy N Li, C Uckun, EM Constantinescu, JR Birge, KW Hedman, A Botterud IEEE Transactions on Sustainable Energy 7 (2), 685-696, 2015 | 267 | 2015 |
PETSc/TS: A modern scalable ODE/DAE solver library S Abhyankar, J Brown, EM Constantinescu, D Ghosh, BF Smith, H Zhang arXiv preprint arXiv:1806.01437, 2018 | 259 | 2018 |
Implicit-explicit formulations of a three-dimensional nonhydrostatic unified model of the atmosphere (NUMA) FX GIRALDO, JF KELLY, EM CONSTANTINESCU SIAM Journal on Scientific Computing, 0 | 220* | |
Time adaptive conditional kernel density estimation for wind power forecasting RJ Bessa, V Miranda, A Botterud, J Wang, EM Constantinescu IEEE Transactions on Sustainable Energy 3 (4), 660-669, 2012 | 214 | 2012 |
Predicting air quality: Improvements through advanced methods to integrate models and measurements GR Carmichael, A Sandu, T Chai, DN Daescu, EM Constantinescu, ... Journal of Computational Physics 227 (7), 3540-3571, 2008 | 183 | 2008 |
Multirate timestepping methods for hyperbolic conservation laws EM Constantinescu, A Sandu Journal of Scientific Computing 33 (3), 239-278, 2007 | 182 | 2007 |
On-line economic optimization of energy systems using weather forecast information VM Zavala, EM Constantinescu, T Krause, M Anitescu Journal of Process Control 19 (10), 1725-1736, 2009 | 135 | 2009 |
Ensemble‐based chemical data assimilation. I: General approach EM Constantinescu, A Sandu, T Chai, GR Carmichael Quarterly Journal of the Royal Meteorological Society 133 (626), 1229-1243, 2007 | 118 | 2007 |
Computing just what you need: Online data analysis and reduction at extreme scales I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ... Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017 | 100 | 2017 |
PETSc: Portable, extensible toolkit for scientific computation S Balay, S Abhyankar, MF Adams, S Benson, J Brown, P Brune, ... Astrophysics Source Code Library, ascl: 2210.016, 2022 | 94 | 2022 |
Ensemble‐based chemical data assimilation. II: Covariance localization EM Constantinescu, A Sandu, T Chai, GR Carmichael Quarterly Journal of the Royal Meteorological Society: A journal of the …, 2007 | 78 | 2007 |
Extrapolated implicit-explicit time stepping EM Constantinescu, A Sandu SIAM Journal on Scientific Computing 31 (6), 4452-4477, 2010 | 76 | 2010 |
Multirate explicit Adams methods for time integration of conservation laws A Sandu, EM Constantinescu Journal of Scientific Computing 38 (2), 229-249, 2009 | 72 | 2009 |
A Bayesian approach for parameter estimation with uncertainty for dynamic power systems N Petra, CG Petra, Z Zhang, EM Constantinescu, M Anitescu IEEE Transactions on Power Systems 32 (4), 2735-2743, 2016 | 70 | 2016 |
Fande Kong, Scott Kruger, Dave A S Balay, S Abhyankar, MF Adams, S Benson, J Brown, P Brune, ... May, Lois Curfman McInnes, Richard Tran Mills, Lawrence Mitchell, Todd …, 2022 | 69 | 2022 |
Assessment of ensemble-based chemical data assimilation in an idealized setting EM Constantinescu, A Sandu, T Chai, GR Carmichael Atmospheric Environment 41 (1), 18-36, 2007 | 64 | 2007 |
Autoregressive models of background errors for chemical data assimilation EM Constantinescu, T Chai, A Sandu, GR Carmichael Journal of Geophysical Research: Atmospheres 112 (D12), 2007 | 62 | 2007 |