| 1 |
Experimental investigation and analytical modelling of active yaw control for wind farm power optimization
Zong HH, Porte-Agel F
Renewable Energy, 170, 1228, 2021 |
| 2 |
Influence of the variation of meteorological and operational parameters on estimation of the power output of a wind farm with active power control
Diaz S, Carta JA, Castaneda A
Renewable Energy, 159, 812, 2020 |
| 3 |
Power output efficiency in large wind farms with different hub heights and configurations
Wu YT, Liao TL, Chen CK, Lin CY, Chen PW
Renewable Energy, 132, 941, 2019 |
| 4 |
A wind farm control strategy for power reserve maximization
Siniscalchi-Minna S, Bianchi FD, De-Prada-Gil M, Ocampo-Martinez C
Renewable Energy, 131, 37, 2019 |
| 5 |
Determining the impact of VAWT farm configurations on power output
Barnes A, Hughes B
Renewable Energy, 143, 1111, 2019 |
| 6 |
Advanced flow and noise simulation method for wind farm assessment in complex terrain
Shen WZ, Zhu WJ, Barlas E, Li Y
Renewable Energy, 143, 1812, 2019 |
| 7 |
Wind farms participation in electricity markets considering uncertainties
Dehghani H, Vahidi B, Hosseinian SH
Renewable Energy, 101, 907, 2017 |
| 8 |
A data-driven, cooperative wind farm control to maximize the total power production
Park J, Law KH
Applied Energy, 165, 151, 2016 |
| 9 |
ADALINE (ADAptive Linear NEuron)-based coordinated control for wind power fluctuations smoothing with reduced BESS (battery energy storage system) capacity
Jannati M, Hosseinian SH, Vahidi B, Li GJ
Energy, 101, 1, 2016 |
| 10 |
A new tool to estimate maximum wind power penetration level: In perspective of frequency response adequacy
Nahid-Al-Masood, Yan RF, Saha TK
Applied Energy, 154, 209, 2015 |
