Sue Ellen Haupt
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Practical genetic algorithms
RL Haupt, SE Haupt
John Wiley & Sons, 2004
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
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
Artificial intelligence methods in the environmental sciences
SE Haupt, A Pasini, C Marzban
Springer Science & Business Media, 2008
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
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
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
A demonstration of coupled receptor/dispersion modeling with a genetic algorithm
SE Haupt
Atmospheric Environment 39 (37), 7181-7189, 2005
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
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
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
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
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
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
The continuous genetic algorithm. Practical genetic algorithms
RL Haupt, SE Haupt
John Wiley & Sons, Inc, 2004
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
An empirical model of barotropic atmospheric dynamics and its response to tropical forcing
G Branstator, SE Haupt
Journal of Climate 11 (10), 2645-2667, 1998
Variable generation power forecasting as a big data problem
SE Haupt, B Kosović
IEEE Transactions on Sustainable Energy 8 (2), 725-732, 2016
UAV navigation by an expert system for contaminant mapping with a genetic algorithm
Y Kuroki, GS Young, SE Haupt
Expert Systems with Applications 37 (6), 4687-4697, 2010
Assessing sensitivity of source term estimation
KJ Long, SE Haupt, GS Young
Atmospheric environment 44 (12), 1558-1567, 2010
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