| 1 |
Determining chaotic characteristics and forecasting tall tower wind speeds in Missouri using empirical dynamical modeling (EDM)
Balkissoon S, Fox N, Lupo A, Haupt SE, Li YC, Market P, Walsh S
Renewable Energy, 170, 1292, 2021 |
| 2 |
Short-term wind forecast of a data assimilation/weather forecasting system with wind turbine anemometer measurement assimilation
Cheng WYY, Liu YB, Bourgeois AJ, Wu YH, Haupt SE
Renewable Energy, 107, 340, 2017 |
| 3 |
Forecasting ground-level irradiance over short horizons: Time series, meteorological, and time-varying parameter models
Reikard G, Haupt SE, Jensen T
Renewable Energy, 112, 474, 2017 |
| 4 |
Evaluation of statistical learning configurations for gridded solar irradiance forecasting
Gagne DJ, McGovern A, Haupt SE, Williams JK
Solar Energy, 150, 383, 2017 |
| 5 |
Blending distributed photovoltaic and demand load forecasts
Haupt SE, Dettling S, Williams JK, Pearson J, Jensen T, Brummet T, Kosovic B, Wiener G, McCandless T, Burghardt C
Solar Energy, 157, 542, 2017 |
| 6 |
A regime-dependent artificial neural network technique for short-range solar irradiance forecasting
McCandless TC, Haupt SE, Young GS
Renewable Energy, 89, 351, 2016 |
| 7 |
A model tree approach to forecasting solar irradiance variability
McCandless TC, Haupt SE, Young GS
Solar Energy, 120, 514, 2015 |
