Numerical data concerning wind farm layout optimization using differential evolution algorithm at different wind speeds

In this work, the numerical data related to wind turbine micrositing problem is presented. The data is acquired using the differential evolution algorithm (DEA) at different wind speeds. The data obtained through DEA include total dissipated power, cost per installation of unit turbine, and the effi...

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Detalles Bibliográficos
Autores principales: Massan, Shafiq-ur-Rehman, Wagan, Asim Imdad, Shaikh, Muhammad Mujtaba, Shah, Muhammad Saleh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Engineering   
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635204/
https://www.ncbi.nlm.nih.gov/pubmed/29034287
http://dx.doi.org/10.1016/j.dib.2017.09.040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635204/
https://www.ncbi.nlm.nih.gov/pubmed/29034287
http://dx.doi.org/10.1016/j.dib.2017.09.040

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