Using atmospheric inputs for Artificial Neural Networks to improve wind turbine power prediction

J Nielson, K Bhaganagar, R Meka, A Alaeddini - Energy, 2020 - Elsevier
A robust machine learning methodology is used to generate a site-specific power-curve of a
full-scale isolated wind turbine operating in an atmospheric boundary layer to drastically …
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Using atmospheric inputs for Artificial Neural Networks to improve wind turbine power prediction

J Nielson, K Bhaganagar, R Meka, A Alaeddini - Energy, 2020 - econpapers.repec.org
A robust machine learning methodology is used to generate a site-specific power-curve of a
full-scale isolated wind turbine operating in an atmospheric boundary layer to drastically …

Using atmospheric inputs for Artificial Neural Networks to improve wind turbine power prediction

J Nielson, K Bhaganagar, R Meka, A Alaeddini - Energy, 2020 - ui.adsabs.harvard.edu
A robust machine learning methodology is used to generate a site-specific power-curve of a
full-scale isolated wind turbine operating in an atmospheric boundary layer to drastically …

Using atmospheric inputs for Artificial Neural Networks to improve wind turbine power prediction

J Nielson, K Bhaganagar, R Meka, A Alaeddini - Energy, 2020 - ideas.repec.org
A robust machine learning methodology is used to generate a site-specific power-curve of a
full-scale isolated wind turbine operating in an atmospheric boundary layer to drastically …

[引用][C] Using atmospheric inputs for Artificial Neural Networks to improve wind turbine power prediction

J Nielson, K Bhaganagar, R Meka, A Alaeddini - 2020