Comprehensive Evaluation of Wind Turbine Type Selection Based on GA-SVR Model

Wei Sun; Le Shen

doi:10.4028/www.scientific.net/AMR.468-471.579

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471Comprehensive Evaluation of Wind Turbine Type...

Comprehensive Evaluation of Wind Turbine Type Selection Based on GA-SVR Model

Abstract:

Aiming at the current situation of wind turbine type selection in China, this paper has built a more scientific and systematic index system for comprehensive evaluation of wind turbine type selection, and also applied the Support Vector Regression machine evaluation model with parameters optimized by Genetic Algorithm. Through automatic global optimization for parameters, this model has reached an extremely high accuracy required for evaluation of type selection. Empirical analysis shows that the application of this model has a realistic popularized significance for improving the method of the wind turbine type selection and enhancing its efficiency.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

579-582

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.579

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Online since:

February 2012

Authors:

Wei Sun, Le Shen

Keywords:

Genetic Algorithm (GA), Support Vector Regression Machine, Wind Turbine Type Selection

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References

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