Sue Ellen Haupt
Cited by
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Practical genetic algorithms
RL Haupt, S Ellen Haupt
Wiley, 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
Artificial intelligence methods in the environmental sciences
SE Haupt, A Pasini, C Marzban
Springer Science & Business Media, 2008
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
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
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
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
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
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
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
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
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
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
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
Assessing sensitivity of source term estimation
KJ Long, SE Haupt, GS Young
Atmospheric environment 44 (12), 1558-1567, 2010
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
Practical genetic algorithms second edition
RL Haupt, SE Haupt
A Wiley-Interscience publication, 2004
Variable generation power forecasting as a big data problem
SE Haupt, B Kosović
IEEE Transactions on Sustainable Energy 8 (2), 725-732, 2016
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release.
SE Haupt, GS Young, CT Allen
JCP 2 (6), 85-93, 2007
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