| 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 | 105 | 2014 |
| 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 (3-4), 535-546, 2014 | 40 | 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 | 31 | 2019 |
| Statistical analysis of installed wind capacity in the United States A Staid, SD Guikema Energy Policy 60, 378-385, 2013 | 25 | 2013 |
| 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 | 24 | 2017 |
| 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 | 16 | 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 | 14 | 2015 |
| 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 | 11 | 2018 |
| Probabilistic maximum‐value wind prediction for offshore environments A Staid, P Pinson, SD Guikema Wind Energy 18 (10), 1725-1738, 2015 | 11 | 2015 |
| 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 | 10 | 2019 |
| 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 | 5 | 2018 |
| 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 | 5 | 2017 |
| Tutorial: parallel computing of simulation models for risk analysis AC Reilly, A Staid, M Gao, SD Guikema Risk Analysis 36 (10), 1844-1854, 2016 | 5 | 2016 |
| 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 | 4 | 2018 |
| 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 | 3 | 2018 |
| Improving wind power prediction intervals using vendor-supplied probabilistic forecast information S Nitsche, CA Silva-Monroy, A Staid, JP Watson, S Winner, DL Woodruff 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 3 | 2017 |
| Statistical models of dengue fever H Link, SN Richter, VJ Leung, RC Brost, CA Phillips, A Staid Australasian Conference on Data Mining, 175-186, 2018 | 2 | 2018 |
| Eyes On the Ground: Year 2 Assessment. R Brost, CQ Little, M McDaniel, WC McLendon, JR Wade Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 2 | 2018 |
| 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 | 1 | 2020 |
| Proactive operations and investment planning via stochastic optimization to enhance power systems extreme weather resilience M Bynum, A Staid, B Arguello, A Castillo, JP Watson, CD Laird Optimization Online Repository 2018 (SAND-2018-9647J), 2018 | 1 | 2018 |
Jean-Paul WatsonLawrence Livermore National Laboratory, Livermore, California, USAVerified email at llnl.gov
