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Sue Ellen Haupt
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Year
Practical genetic algorithms
RL Haupt
John Wiley & Sons, Inc, 2004
86902004
Using artificial intelligence to improve real-time decision-making for high-impact weather
A McGovern, KL Elmore, DJ Gagne, SE Haupt, CD Karstens, R Lagerquist, ...
Bulletin of the American Meteorological Society 98 (10), 2073-2090, 2017
4592017
WRF-Solar: Description and clear-sky assessment of an augmented NWP model for solar power prediction
PA Jimenez, JP Hacker, J Dudhia, SE Haupt, JA Ruiz-Arias, ...
Bulletin of the American Meteorological Society 97 (7), 1249-1264, 2016
2872016
Solar forecasting: methods, challenges, and performance
A Tuohy, J Zack, SE Haupt, J Sharp, M Ahlstrom, S Dise, E Grimit, ...
IEEE Power and Energy Magazine 13 (6), 50-59, 2015
2372015
Storm-based probabilistic hail forecasting with machine learning applied to convection-allowing ensembles
DJ Gagne, A McGovern, SE Haupt, RA Sobash, JK Williams, M Xue
Weather and forecasting 32 (5), 1819-1840, 2017
2042017
Interpretable deep learning for spatial analysis of severe hailstorms
DJ Gagne II, SE Haupt, DW Nychka, G Thompson
Monthly Weather Review 147 (8), 2827-2845, 2019
1982019
Artificial intelligence methods in the environmental sciences
SE Haupt, A Pasini, C Marzban
Springer Science & Business Media, 2008
1972008
A wind power forecasting system to optimize grid integration
WP Mahoney, K Parks, G Wiener, Y Liu, WL Myers, J Sun, ...
IEEE Transactions on Sustainable Energy 3 (4), 670-682, 2012
1812012
Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation
WYY Cheng, Y Liu, AJ Bourgeois, Y Wu, SE Haupt
Renewable Energy 107, 340-351, 2017
1592017
A review of the potential impacts of climate change on bulk power system planning and operations in the United States
MT Craig, S Cohen, J Macknick, C Draxl, OJ Guerra, M Sengupta, ...
Renewable and Sustainable Energy Reviews 98, 255-267, 2018
1312018
Improving pollutant source characterization by better estimating wind direction with a genetic algorithm
CT Allen, GS Young, SE Haupt
Atmospheric Environment 41 (11), 2283-2289, 2007
1232007
Recent trends in variable generation forecasting and its value to the power system
KD Orwig, ML Ahlstrom, V Banunarayanan, J Sharp, JM Wilczak, ...
IEEE Transactions on Sustainable Energy 6 (3), 924-933, 2014
1142014
A demonstration of coupled receptor/dispersion modeling with a genetic algorithm
SE Haupt
Atmospheric Environment 39 (37), 7181-7189, 2005
1072005
A preliminary study of assimilating numerical weather prediction data into computational fluid dynamics models for wind prediction
FJ Zajaczkowski, SE Haupt, KJ Schmehl
Journal of Wind Engineering and Industrial Aerodynamics 99 (4), 320-329, 2011
1052011
Validation of a receptor–dispersion model coupled with a genetic algorithm using synthetic data
SE Haupt, GS Young, CT Allen
Journal of applied meteorology and climatology 45 (3), 476-490, 2006
932006
Source characterization with a genetic algorithm–coupled dispersion–backward model incorporating SCIPUFF
CT Allen, SE Haupt, GS Young
Journal of applied meteorology and climatology 46 (3), 273-287, 2007
922007
Building the Sun4Cast system: Improvements in solar power forecasting
SE Haupt, B Kosović, T Jensen, JK Lazo, JA Lee, PA Jiménez, J Cowie, ...
Bulletin of the American Meteorological Society 99 (1), 121-136, 2018
902018
Variable generation power forecasting as a big data problem
SE Haupt, B Kosović
IEEE Transactions on Sustainable Energy 8 (2), 725-732, 2016
902016
A regime-dependent artificial neural network technique for short-range solar irradiance forecasting
TC McCandless, SE Haupt, GS Young
Renewable Energy 89, 351-359, 2016
902016
Towards implementing artificial intelligence post-processing in weather and climate: Proposed actions from the Oxford 2019 workshop
SE Haupt, W Chapman, SV Adams, C Kirkwood, JS Hosking, ...
Philosophical Transactions of the Royal Society A 379 (2194), 20200091, 2021
852021
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