| Year |
Citation |
Score |
| 2020 |
Haupt SE, McCandless TC, Dettling S, Alessandrini S, Lee JA, Linden S, Petzke W, Brummet T, Nguyen N, Kosović B, Wiener G, Hussain T, Al-Rasheedi M. Combining Artificial Intelligence with Physics-Based Methods for Probabilistic Renewable Energy Forecasting Energies. 13: 1979. DOI: 10.3390/En13081979 |
0.417 |
|
| 2020 |
Kosovic B, Haupt SE, Adriaansen D, Alessandrini S, Wiener G, Monache LD, Liu Y, Linden S, Jensen T, Cheng W, Politovich M, Prestopnik P. A Comprehensive Wind Power Forecasting System Integrating Artificial Intelligence and Numerical Weather Prediction Energies. 13: 1372. DOI: 10.3390/En13061372 |
0.49 |
|
| 2020 |
McCandless T, Dettling S, Haupt SE. Comparison of Implicit vs. Explicit Regime Identification in Machine Learning Methods for Solar Irradiance Prediction Energies. 13: 689. DOI: 10.3390/En13030689 |
0.37 |
|
| 2020 |
Naegele SM, McCandless TC, Greybush SJ, Young GS, Haupt SE, Al-Rasheedi M. Climatology of wind variability for the Shagaya region in Kuwait Renewable & Sustainable Energy Reviews. 133: 110089. DOI: 10.1016/J.Rser.2020.110089 |
0.439 |
|
| 2019 |
Tye MR, Haupt SE, Gilleland E, Kalb C, Jensen T. Assessing evidence for weather regimes governing solar power generation in Kuwait Energies. 12: 4409. DOI: 10.3390/En12234409 |
0.42 |
|
| 2019 |
Haupt SE, Kosovic B, Shaw W, Berg LK, Churchfield M, Cline J, Draxl C, Ennis B, Koo E, Kotamarthi R, Mazzaro L, Mirocha J, Moriarty P, Muñoz-Esparza D, Quon E, et al. On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy Bulletin of the American Meteorological Society. 100: 2533-2550. DOI: 10.1175/Bams-D-18-0033.1 |
0.386 |
|
| 2019 |
Haupt SE, Kosovic B, McIntosh SW, Chen F, Miller K, Shepherd M, Williams M, Drobot S. 100 Years of Progress in Applied Meteorology. Part III: Additional Applications Meteorological Monographs. 2019. DOI: 10.1175/Amsmonographs-D-18-0012.1 |
0.309 |
|
| 2019 |
Haupt SE, Casado MG, Davidson M, Dobschinski J, Du P, Lange M, Miller T, Mohrlen C, Motley A, Pestana R, Zack J. The Use of Probabilistic Forecasts: Applying Them in Theory and Practice Ieee Power & Energy Magazine. 17: 46-57. DOI: 10.1109/Mpe.2019.2932639 |
0.385 |
|
| 2019 |
Silva RAe, Haupt SE, Brito MC. A regime-based approach for integrating wind information in spatio-temporal solar forecasting models Journal of Renewable and Sustainable Energy. 11: 56102. DOI: 10.1063/1.5098763 |
0.475 |
|
| 2018 |
Haupt SE, Kosović B, Jensen T, Lazo JK, Lee JA, Jiménez PA, Cowie J, Wiener G, McCandless TC, Rogers M, Miller S, Sengupta M, Xie Y, Hinkelman L, Kalb P, et al. Building the Sun4Cast System: Improvements in Solar Power Forecasting Bulletin of the American Meteorological Society. 99: 121-136. DOI: 10.1175/Bams-D-16-0221.1 |
0.419 |
|
| 2018 |
Haupt SE, Rauber RM, Carmichael B, Knievel JC, Cogan JL. 100 Years of Progress in Applied Meteorology. Part I: Basic Applications Meteorological Monographs. 59: 22.1-22.33. DOI: 10.1175/Amsmonographs-D-18-0004.1 |
0.318 |
|
| 2018 |
Haupt SE. Nonlinear Modeling of Solar Radiation and Wind Speed Time Series Luigi Fortuna, Giuseppe Nunnari and Silvia Nunnari Springer, 2016, xv + 98 pages, $54.99, softcover ISBN: 978‐3‐319‐38764‐2 International Statistical Review. 86: 161-161. DOI: 10.1111/Insr.12255 |
0.386 |
|
| 2018 |
Craig MT, Cohen S, Macknick J, Draxl C, Guerra OJ, Sengupta M, Haupt SE, Hodge B, Brancucci C. A review of the potential impacts of climate change on bulk power system planning and operations in the United States Renewable & Sustainable Energy Reviews. 98: 255-267. DOI: 10.1016/J.Rser.2018.09.022 |
0.313 |
|
| 2017 |
Gagne DJ, McGovern A, Haupt SE, Sobash RA, Williams JK, Xue M. Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles Weather and Forecasting. 32: 1819-1840. DOI: 10.1175/Waf-D-17-0010.1 |
0.484 |
|
| 2017 |
Lee JA, Haupt SE, Jiménez PA, Rogers MA, Miller SD, McCandless TC. Solar Irradiance Nowcasting Case Studies near Sacramento Journal of Applied Meteorology and Climatology. 56: 85-108. DOI: 10.1175/Jamc-D-16-0183.1 |
0.431 |
|
| 2017 |
McGovern A, Elmore KL, Gagne DJ, Haupt SE, Karstens CD, Lagerquist R, Smith T, Williams JK. Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather Bulletin of the American Meteorological Society. 98: 2073-2090. DOI: 10.1175/Bams-D-16-0123.1 |
0.409 |
|
| 2017 |
Haupt SE, Kosovic B. Variable Generation Power Forecasting as a Big Data Problem Ieee Transactions On Sustainable Energy. 8: 725-732. DOI: 10.1109/Tste.2016.2604679 |
0.435 |
|
| 2017 |
Dobschinski J, Bessa R, Du P, Geisler K, Haupt SE, Lange M, Mohrlen C, Nakafuji D, Rodriguez MdlT. Uncertainty Forecasting in a Nutshell: Prediction Models Designed to Prevent Significant Errors Ieee Power & Energy Magazine. 15: 40-49. DOI: 10.1109/Mpe.2017.2729100 |
0.447 |
|
| 2017 |
Petrozziello A, Cervone G, Franzese P, Haupt SE, Cerulli R. Source Reconstruction of Atmospheric Releases with Limited Meteorological Observations Using Genetic Algorithms Applied Artificial Intelligence. 31: 119-133. DOI: 10.1080/08839514.2017.1300005 |
0.399 |
|
| 2017 |
Haupt SE, Dettling S, Williams JK, Pearson J, Jensen T, Brummet T, Kosovic B, Wiener G, McCandless T, Burghardt C. Blending distributed photovoltaic and demand load forecasts Solar Energy. 157: 542-551. DOI: 10.1016/J.Solener.2017.08.049 |
0.374 |
|
| 2017 |
Gagne DJ, McGovern A, Haupt SE, Williams JK. Evaluation of statistical learning configurations for gridded solar irradiance forecasting Solar Energy. 150: 383-393. DOI: 10.1016/J.Solener.2017.04.031 |
0.372 |
|
| 2017 |
Reikard G, Haupt SE, Jensen T. Forecasting ground-level irradiance over short horizons: Time series, meteorological, and time-varying parameter models Renewable Energy. 112: 474-485. DOI: 10.1016/J.Renene.2017.05.019 |
0.464 |
|
| 2017 |
Cheng WYY, Liu Y, Bourgeois AJ, Wu Y, Haupt SE. Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation Renewable Energy. 107: 340-351. DOI: 10.1016/J.Renene.2017.02.014 |
0.483 |
|
| 2017 |
Bieringer PE, Young GS, Rodriguez LM, Annunzio AJ, Vandenberghe F, Haupt SE. Paradigms and commonalities in atmospheric source term estimation methods Atmospheric Environment. 156: 102-112. DOI: 10.1016/J.Atmosenv.2017.02.011 |
0.656 |
|
| 2016 |
Jiménez PA, Alessandrini S, Haupt SE, Deng A, Kosovic B, Lee JA, Monache LD. The role of unresolved clouds on short-range global horizontal irradiance predictability Monthly Weather Review. 144: 3099-3107. DOI: 10.1175/Mwr-D-16-0104.1 |
0.456 |
|
| 2016 |
McCandless TC, Young GS, Haupt SE, Hinkelman LM. Regime-Dependent Short-Range Solar Irradiance Forecasting Journal of Applied Meteorology and Climatology. 55: 1599-1613. DOI: 10.1175/Jamc-D-15-0354.1 |
0.413 |
|
| 2016 |
Haupt SE, Copeland J, Cheng WYY, Zhang Y, Ammann C, Sullivan P. A method to assess the wind and solar resource and to quantify interannual variability over the United States under current and projected future climate Journal of Applied Meteorology and Climatology. 55: 345-363. DOI: 10.1175/Jamc-D-15-0011.1 |
0.421 |
|
| 2016 |
Jimenez PA, Hacker JP, Dudhia J, Haupt SE, Ruiz-Arias JA, Gueymard CA, Thompson G, Eidhammer T, Deng A. WRF-SOLAR: Description and clear-sky assessment of an augmented NWP model for solar power prediction Bulletin of the American Meteorological Society. 97: 1249-1264. DOI: 10.1175/Bams-D-14-00279.1 |
0.416 |
|
| 2016 |
Haupt SE, Kosovic B. Big data and machine learning for applied weather forecasts: Forecasting solar power for utility operations Proceedings - 2015 Ieee Symposium Series On Computational Intelligence, Ssci 2015. 496-501. DOI: 10.1109/SSCI.2015.79 |
0.332 |
|
| 2016 |
McCandless TC, Haupt SE, Young GS. A regime-dependent artificial neural network technique for short-range solar irradiance forecasting Renewable Energy. 89: 351-359. DOI: 10.1016/J.Renene.2015.12.030 |
0.388 |
|
| 2015 |
Orwig KD, Ahlstrom ML, Banunarayanan V, Sharp J, Wilczak JM, Freedman J, Haupt SE, Cline J, Bartholomy O, Hamann HF, Hodge BM, Finley C, Nakafuji D, Peterson JL, Maggio D, et al. Recent trends in variable generation forecasting and its value to the power system Ieee Transactions On Sustainable Energy. 6: 924-933. DOI: 10.1109/Tste.2014.2366118 |
0.43 |
|
| 2015 |
Haupt SE, Mahoney WP. Taming wind power with better forecasts Ieee Spectrum. 52: 46-52. DOI: 10.1109/Mspec.2015.7335902 |
0.415 |
|
| 2015 |
Tuohy A, Zack J, Haupt SE, Sharp J, Ahlstrom M, Dise S, Grimit E, Mohrlen C, Lange M, Casado MG, Black J, Marquis M, Collier C. Solar Forecasting: Methods, Challenges, and Performance Ieee Power and Energy Magazine. 13: 50-59. DOI: 10.1109/Mpe.2015.2461351 |
0.326 |
|
| 2015 |
McCandless TC, Haupt SE, Young GS. A model tree approach to forecasting solar irradiance variability Solar Energy. 120: 514-524. DOI: 10.1016/J.Solener.2015.07.020 |
0.436 |
|
| 2014 |
Reen BP, Schmehl KJ, Young GS, Lee JA, Haupt SE, Stauffer DR. Uncertainty in contaminant concentration fields resulting from atmospheric boundary layer depth uncertainty Journal of Applied Meteorology and Climatology. 53: 2610-2626. DOI: 10.1175/Jamc-D-13-0262.1 |
0.457 |
|
| 2014 |
Haupt SE, Drobot S. New irradiance models for solar energy 43rd Ases National Solar Conference 2014, Solar 2014, Including the 39th National Passive Solar Conference and the 2nd Meeting of Young and Emerging Professionals in Renewable Energy. 1: 384-391. |
0.326 |
|
| 2013 |
Haupt SE, Annunzio AJ, Schmehl KJ. Evolving Turbulence Realizations of Atmospheric Flow Boundary-Layer Meteorology. 149: 197-217. DOI: 10.1007/S10546-013-9845-7 |
0.796 |
|
| 2012 |
Lei L, Stauffer DR, Haupt SE, Young GS. A hybrid nudging-ensemble Kalman filter approach to data assimilation. Part I: Application in the Lorenz system Tellus, Series a: Dynamic Meteorology and Oceanography. 64. DOI: 10.3402/Tellusa.V64I0.18484 |
0.417 |
|
| 2012 |
Lee JA, Kolczynski WC, Mccandless TC, Haupt SE. An objective methodology for configuring and down-selecting an NWP ensemble for low-level wind prediction Monthly Weather Review. 140: 2270-2286. DOI: 10.1175/Mwr-D-11-00065.1 |
0.758 |
|
| 2012 |
Mahoney WP, Parks K, Wiener G, Liu Y, Myers WL, Sun J, Delle Monache L, Hopson T, Johnson D, Haupt SE. A wind power forecasting system to optimize grid integration Ieee Transactions On Sustainable Energy. 3: 670-682. DOI: 10.1109/Tste.2012.2201758 |
0.497 |
|
| 2012 |
Annunzio AJ, Young GS, Haupt SE. A Multi-Entity Field Approximation to determine the source location of multiple atmospheric contaminant releases Atmospheric Environment. 62: 593-604. DOI: 10.1016/J.Atmosenv.2012.08.032 |
0.753 |
|
| 2012 |
Annunzio AJ, Young GS, Haupt SE. Utilizing state estimation to determine the source location for a contaminant Atmospheric Environment. 46: 580-589. DOI: 10.1016/J.Atmosenv.2011.04.080 |
0.775 |
|
| 2012 |
Schmehl KJ, Haupt SE, Pavolonis MJ. A genetic algorithm variational approach to data assimilation and application to volcanic emissions Pure and Applied Geophysics. 169: 519-537. DOI: 10.1007/S00024-011-0385-0 |
0.444 |
|
| 2012 |
Myers B, Linden S, Wiener G, Haupt SE. A consensus wind forecasting system World Renewable Energy Forum, Wref 2012, Including World Renewable Energy Congress Xii and Colorado Renewable Energy Society (Cres) Annual Conferen. 1: 16-22. |
0.331 |
|
| 2012 |
Wiener G, Haupt SE, Myers B, Linden S, Pearson J, Imbler L. Techniques for improving wind to power conversion World Renewable Energy Forum, Wref 2012, Including World Renewable Energy Congress Xii and Colorado Renewable Energy Society (Cres) Annual Conferen. 2: 1016-1020. |
0.314 |
|
| 2011 |
McCandless TC, Haupt SE, Young GS. The effects of imputing missing data on ensemble temperature forecasts Journal of Computers. 6: 162-171. DOI: 10.4304/Jcp.6.2.162-171 |
0.442 |
|
| 2011 |
Kolczynski WC, Stauffer DR, Haupt SE, Altman NS, Deng A. Investigation of ensemble variance as a measure of true forecast variance Monthly Weather Review. 139: 3954-3963. DOI: 10.1175/Mwr-D-10-05081.1 |
0.736 |
|
| 2011 |
Stewart SW, Haupt SE, Cole JA. Addressing wind resource potential in the built environment Asme 2011 5th International Conference On Energy Sustainability, Es 2011. 2223-2235. DOI: 10.1115/ES2011-54812 |
0.343 |
|
| 2011 |
Haupt SE, Wiener G, Liu Y, Myers B, Sun J, Johnson D, Mahoney W. A wind power forecasting system to optimize power integration Asme 2011 5th International Conference On Energy Sustainability, Es 2011. 2215-2222. DOI: 10.1115/ES2011-54773 |
0.399 |
|
| 2011 |
Zajaczkowski FJ, Haupt SE, Schmehl KJ. A preliminary study of assimilating numerical weather prediction data into computational fluid dynamics models for wind prediction Journal of Wind Engineering and Industrial Aerodynamics. 99: 320-329. DOI: 10.1016/J.Jweia.2011.01.023 |
0.49 |
|
| 2011 |
Haupt SE, Haupt RL, Young GS. A mixed integer genetic algorithm used in biological and chemical defense applications Soft Computing. 15: 51-59. DOI: 10.1007/s00500-009-0516-z |
0.337 |
|
| 2011 |
Burley B, Srebric J, Haupt SE, Peltier LJ, Liu J. Modeling of urban wind for infiltration studies 12th International Conference On Indoor Air Quality and Climate 2011. 4: 2890-2895. |
0.301 |
|
| 2010 |
Peltier LJ, Haupt SE, Wyngaard JC, Stauffer DR, Deng A, Lee JA, Long KJ, Annunzio AJ. Parameterizing mesoscale wind uncertainty for dispersion modeling Journal of Applied Meteorology and Climatology. 49: 1604-1614. DOI: 10.1175/2010Jamc2396.1 |
0.797 |
|
| 2010 |
Kuroki Y, Young GS, Haupt SE. UAV navigation by an expert system for contaminant mapping with a genetic algorithm Expert Systems With Applications. 37: 4687-4697. DOI: 10.1016/J.Eswa.2009.12.039 |
0.493 |
|
| 2010 |
Long KJ, Haupt SE, Young GS. Assessing sensitivity of source term estimation Atmospheric Environment. 44: 1558-1567. DOI: 10.1016/J.Atmosenv.2010.01.003 |
0.531 |
|
| 2010 |
Zajaczkowski FJ, Haupt SE, Long K. Wind turbine siting by using mesoscale model data assimilation and computational fluid dynamics 48th Aiaa Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition. |
0.399 |
|
| 2009 |
Long KJ, Zajaczkowski FJ, Haupt SE, Joel Peltier L. Modeling a hypothetical chlorine release on a college campus Journal of Computers. 4: 881-890. DOI: 10.4304/Jcp.4.9.881-890 |
0.414 |
|
| 2009 |
Lee JA, Joel Peltier L, Haupt SE, Wyngaard JC, Stauffer DR, Deng A. Improving SCIPUFF dispersion forecasts with NWP ensembles Journal of Applied Meteorology and Climatology. 48: 2305-2319. DOI: 10.1175/2009Jamc2171.1 |
0.568 |
|
| 2009 |
Kolczynski WC, Stauffer DR, Haupt SE, Deng A. Ensemble variance calibration for representing meteorological uncertainty for atmospheric transport and dispersion modeling Journal of Applied Meteorology and Climatology. 48: 2001-2021. DOI: 10.1175/2009Jamc2059.1 |
0.77 |
|
| 2009 |
Haupt SE, Beyer-Lout A, Long KJ, Young GS. Assimilating concentration observations for transport and dispersion modeling in a meandering wind field Atmospheric Environment. 43: 1329-1338. DOI: 10.1016/J.Atmosenv.2008.11.043 |
0.52 |
|
| 2008 |
Greybush SJ, Haupt SE, Young GS. The regime dependence of optimally weighted ensemble model consensus forecasts of surface temperature Weather and Forecasting. 23: 1146-1161. DOI: 10.1175/2008Waf2007078.1 |
0.425 |
|
| 2008 |
Haupt SE, Young GS, Long KJ, Beyer-Lout A, Annunzio AJ. Data fusion and prediction for CBRN transport and dispersion for security Ieee Aerospace Conference Proceedings. DOI: 10.1109/AERO.2008.4526584 |
0.766 |
|
| 2007 |
Haupt SE, Young GS, Allen CT. A genetic algorithm method to assimilate sensor data for a toxic contaminant release Journal of Computers (Finland). 2: 85-93. DOI: 10.4304/Jcp.2.6.85-93 |
0.509 |
|
| 2007 |
Allen CT, Haupt SE, Young GS. Source characterization with a genetic algorithm-coupled dispersion-backward model incorporating SCIPUFF Journal of Applied Meteorology and Climatology. 46: 273-287. DOI: 10.1175/Jam2459.1 |
0.38 |
|
| 2007 |
Allen CT, Young GS, Haupt SE. Improving pollutant source characterization by better estimating wind direction with a genetic algorithm Atmospheric Environment. 41: 2283-2289. DOI: 10.1016/J.Atmosenv.2006.11.007 |
0.464 |
|
| 2006 |
Haupt SE, Young GS, Allen CT. Validation of a receptor-dispersion model coupled with a genetic algorithm using synthetic data Journal of Applied Meteorology and Climatology. 45: 476-490. DOI: 10.1175/Jam2359.1 |
0.391 |
|
| 2006 |
Wilson RP, Haupt SE, Peltier LJ, Kunz RF. Detached eddy simulation of atmospheric flow about a surface mounted cube at high reynolds number Proceedings of Asme Fluids Engineering Division Summer Meeting 2006, Fedsm2006. 1: 1213-1222. DOI: 10.1115/1.4003649 |
0.351 |
|
| 2006 |
Haupt SE, Allen CT, Young GS. A genetic algorithm method to assimilate sensor data for homeland defense applications 2006 Ieee Mountain Workshop On Adaptive and Learning Systems, Smcals 2006. 243-248. DOI: 10.1109/SMCALS.2006.250723 |
0.339 |
|
| 2006 |
Haupt SE, Allen CT, Young GS. A genetic algorithm method for sensor data assimilation and source characterization Ieee International Conference On Neural Networks - Conference Proceedings. 5096-5103. |
0.317 |
|
| 2006 |
Peltier LJ, Haupt SE, Wyngaard JC, Stauffer D, Deng A, Kredensor F. Meteorological uncertainty effects in atmospheric transport and dispersion modeling: A demonstration 86th Ams Annual Meeting. |
0.318 |
|
| 2005 |
Haupt SE. A demonstration of coupled receptor/dispersion modeling with a genetic algorithm Atmospheric Environment. 39: 7181-7189. DOI: 10.1016/J.Atmosenv.2005.08.027 |
0.376 |
|
| 1998 |
Branstator G, Haupt SE. An empirical model of barotropic atmospheric dynamics and its response to tropical forcing Journal of Climate. 11: 2645-2667. DOI: 10.1175/1520-0442(1998)011<2645:Aemoba>2.0.Co;2 |
0.422 |
|
| 1995 |
CURRY JH, HAUPT SE, LIMBER MN. Low‐order models, initialization, and the slow manifold Tellus A. 47: 145-161. DOI: 10.1034/J.1600-0870.1995.00001.X |
0.308 |
|
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