| 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 |
A correction to the unimodal and bimodal truncated normal distributions for a more accurate representation of extreme and calm wind speeds
Mazzeo D, Oliveti G, Marsico A
International Journal of Energy Research, 43(14), 7908, 2019 |
| 3 |
Harmonic response analysis of a large dish solar thermal power generation system with wind-induced vibration
E JQ, Liu GL, Liu T, Zhang ZQ, Zuo HY, Hu WY, Wei KX
Solar Energy, 181, 116, 2019 |
| 4 |
Optimal day-ahead wind-thermal unit commitment considering statistical and predicted features of wind speeds
Sun YN, Dong JZ, Ding LJ
Energy Conversion and Management, 142, 347, 2017 |
| 5 |
Online multi-step prediction for wind speeds and solar irradiation: Evaluation of prediction errors
Hirata Y, Yamada T, Takahashi J, Aihara K, Suzuki H
Renewable Energy, 67, 35, 2014 |
| 6 |
Effect of Wind Speed on Wind Turbine Power Converter Reliability
Xie KG, Jiang ZF, Li WY
IEEE Transactions on Energy Conversion, 27(1), 96, 2012 |
| 7 |
Wind farm electrical power production model for load flow analysis
Segura-Heras I, Escriva-Escriva G, Alcazar-Ortega M
Renewable Energy, 36(3), 1008, 2011 |
| 8 |
Wind resource evaluation in six selected high altitude locations in Nigeria
Ohunakin OS
Renewable Energy, 36(12), 3273, 2011 |
| 9 |
Wind turbines power curve variability
Khalfallah MG, Koliub AM
Desalination, 209(1-3), 230, 2007 |
