Data for the Wind Energy Science paper "Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization". The data includes a file describing the wind direction distribution. The ith probability value corresponds to the probability of the wind coming between direction i and i+1. The other data files, corresponding to the wind farm layouts, provide the x,y coordinates of the wind turbines
Wind turbine placement in a wind farm can be optimized to limit power losses due to wakes and improv...
The use of wind energy in electricity generation around the world has increased steadily over the pa...
Manta ray foraging optimization (MRFO) algorithm is relatively a novel bio-inspired optimization tec...
Data for the Wind Energy Science paper "Polynomial chaos to efficiently compute the annual energy pr...
Surrogate models are used to approximate the expensive ‘true’ simulation codes and thus have the pot...
Wind farm flow models have advanced considerably with the use of large eddy simulations (LES) and Re...
We present a method to derive a surrogate model for wind farm control. The procedure is based on a s...
This paper presents a heuristic building block for wind farm layout optimization algorithms. For eac...
This work develops a wind intensity interference coefficient which captures the interference caused ...
The wind farms layou optimization problem consists in determinate their optimum configuration consid...
Wind farm layout optimization (WFLO) determines the optimal location of wind turbines within a fixed...
Wind farms form an ever increasing share of the world’s electricity production capacity. But now tha...
Due to the limited availability of sites on both land and sea, there is a need to maximize the power...
Uncertainty of wind farm parameters can have a significant effect on wind farm power output. Knowled...
The wind power is primarily induced by the local wind speed, whose accurate daily forecasts are impo...
Wind turbine placement in a wind farm can be optimized to limit power losses due to wakes and improv...
The use of wind energy in electricity generation around the world has increased steadily over the pa...
Manta ray foraging optimization (MRFO) algorithm is relatively a novel bio-inspired optimization tec...
Data for the Wind Energy Science paper "Polynomial chaos to efficiently compute the annual energy pr...
Surrogate models are used to approximate the expensive ‘true’ simulation codes and thus have the pot...
Wind farm flow models have advanced considerably with the use of large eddy simulations (LES) and Re...
We present a method to derive a surrogate model for wind farm control. The procedure is based on a s...
This paper presents a heuristic building block for wind farm layout optimization algorithms. For eac...
This work develops a wind intensity interference coefficient which captures the interference caused ...
The wind farms layou optimization problem consists in determinate their optimum configuration consid...
Wind farm layout optimization (WFLO) determines the optimal location of wind turbines within a fixed...
Wind farms form an ever increasing share of the world’s electricity production capacity. But now tha...
Due to the limited availability of sites on both land and sea, there is a need to maximize the power...
Uncertainty of wind farm parameters can have a significant effect on wind farm power output. Knowled...
The wind power is primarily induced by the local wind speed, whose accurate daily forecasts are impo...
Wind turbine placement in a wind farm can be optimized to limit power losses due to wakes and improv...
The use of wind energy in electricity generation around the world has increased steadily over the pa...
Manta ray foraging optimization (MRFO) algorithm is relatively a novel bio-inspired optimization tec...