Name
Title | ||
|---|---|---|
Extreme learning approach with wavelet transform function for forecasting wind turbine wake effect to improve wind farm efficiency. |
Abstract | ||
|---|---|---|
•Analyzing the wake effect of interactions between turbines.•Soft computing methods for estimation of wake wind speed.•Wake wind speed estimation according to the main wind farm parameters.•Analyzing the influence of the wind turbine position in wind farm. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.advengsoft.2016.02.011 | Advances in Engineering Software |
Keywords | Field | DocType |
Wind turbine,Wake model,Wind speed,Soft computing,Forecasting | Meteorology,Wake,Wind speed,Computer science,Extreme learning machine,Control theory,Support vector machine,Mean squared error,Turbine,Artificial neural network,Wavelet transform | Journal |
Volume | ISSN | Citations |
96 | 0965-9978 | 1 |
PageRank | References | Authors |
0.36 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Igor Mladenovic | 1 | 5 | 1.53 |
| Dusan Markovic | 2 | 1 | 0.36 |
| Milos Milovancevic | 3 | 5 | 1.87 |
| Miroljub Nikolic | 4 | 1 | 0.36 |