| Predicting hurricane power outages to support storm response planning SD Guikema, R Nateghi, SM Quiring, A Staid, AC Reilly, M Gao Ieee Access 2, 1364-1373, 2014 | 151 | 2014 |
| 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 | 127 | 2019 |
| Simulation of tropical cyclone impacts to the US power system under climate change scenarios A Staid, SD Guikema, R Nateghi, SM Quiring, MZ Gao Climatic change 127, 535-546, 2014 | 56 | 2014 |
| Generating short‐term probabilistic wind power scenarios via nonparametric forecast error density estimators A Staid, JP Watson, RJB Wets, DL Woodruff Wind Energy 20 (12), 1911-1925, 2017 | 44 | 2017 |
| 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 | 37 | 2021 |
| Statistical analysis of installed wind capacity in the United States A Staid, SD Guikema Energy Policy 60, 378-385, 2013 | 32 | 2013 |
| Constructing probabilistic scenarios for wide-area solar power generation DL Woodruff, J Deride, A Staid, JP Watson, G Slevogt, C Silva-Monroy Solar Energy 160, 153-167, 2018 | 29 | 2018 |
| Mixed-integer programming models for optimal constellation scheduling given cloud cover uncertainty CG Valicka, D Garcia, A Staid, JP Watson, G Hackebeil, S Rathinam, ... European Journal of Operational Research 275 (2), 431-445, 2019 | 27 | 2019 |
| Stochastic unit commitment performance considering Monte Carlo wind power scenarios B Rachunok, A Staid, JP Watson, DL Woodruff, D Yang 2018 IEEE international conference on probabilistic methods applied to power …, 2018 | 23 | 2018 |
| Risk analysis for US offshore wind farms: the need for an integrated approach A Staid, SD Guikema Risk Analysis 35 (4), 587-593, 2015 | 20 | 2015 |
| Probabilistic maximum‐value wind prediction for offshore environments A Staid, P Pinson, SD Guikema Wind Energy 18 (10), 1725-1738, 2015 | 17 | 2015 |
| Analysis of microgrid locations benefitting community resilience for Puerto Rico RF Jeffers, MJ Baca, A Wachtel, S DeRosa, A Staid, WE Fogleman, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 16 | 2018 |
| Investment optimization to improve power system resilience BJ Pierre, B Arguello, A Staid, RT Guttromson 2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018 | 16 | 2018 |
| Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency N Alemazkoor, B Rachunok, DR Chavas, A Staid, A Louhghalam, ... Scientific reports 10 (1), 15270, 2020 | 15 | 2020 |
| Assessment of wind power scenario creation methods for stochastic power systems operations B Rachunok, A Staid, JP Watson, DL Woodruff Applied Energy 268, 114986, 2020 | 9 | 2020 |
| A comparison of methods for assessing power output in non‐uniform onshore wind farms A Staid, C VerHulst, SD Guikema Wind Energy 21 (1), 42-52, 2018 | 8 | 2018 |
| Proactive operations and investment planning via stochastic optimization to enhance power systems’ extreme weather resilience M Bynum, A Staid, B Arguello, A Castillo, B Knueven, CD Laird, ... Journal of Infrastructure Systems 27 (2), 04021004, 2021 | 7 | 2021 |
| Stormwindmodel: model tropical cyclone wind speeds B Anderson, A Schumacher, S Guikema, S Quiring, J Ferreri, A Staid, ... R Package Version 0.1 4, 2020 | 7 | 2020 |
| Parmest: Parameter Estimation Via Pyomo KA Klise, BL Nicholson, A Staid, DL Woodruff Computer Aided Chemical Engineering 47, 41-46, 2019 | 6 | 2019 |
| The use of simulation to reduce the domain of “black swans” with application to hurricane impacts to power systems CL Berner, A Staid, R Flage, SD Guikema Risk analysis 37 (10), 1879-1897, 2017 | 6 | 2017 |
Jean-Paul WatsonLawrence Livermore National Laboratory, Livermore, California, USAE-mail megerősítve itt: llnl.gov
