application of particle swarm optimization in the design of halbach permanent magnet synchronous generators for megawatt level wind turbines

Salem Alshibani

application of particle swarm optimization in the design of halbach permanent magnet synchronous generators for megawatt level wind turbines

Salem Alshibani

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Original language	American English
Pages (from-to)	865-868
Number of pages	4
Journal	2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA)
State	Published - 2018
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Funding Agency

Kuwait Foundation for the Advancement of Sciences

Cite this

@article{f6bc4642d2aa44b6bc2e6d577d8a7fd1,

title = "application of particle swarm optimization in the design of halbach permanent magnet synchronous generators for megawatt level wind turbines",

author = "Salem Alshibani",

year = "2018",

language = "American English",

pages = "865--868",

journal = "2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA)",

}

TY - JOUR

T1 - application of particle swarm optimization in the design of halbach permanent magnet synchronous generators for megawatt level wind turbines

AU - Alshibani, Salem

PY - 2018

Y1 - 2018

M3 - Article

SP - 865

EP - 868

JO - 2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA)

JF - 2018 7TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA)

ER -