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Principal component analysis of West European wind power generation

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Abstract

The principal component analysis of the West European wind power production is worked out and presented. The overall production in 15 countries in Western Europe is highly correlated and it is shown that the sum-production is dominated by a number of principal components far less than the number of countries. This manifests the correlation of wind power production in the larger area such as Western Europe.

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Notes

  1. The variational coefficient is the ratio of standard deviation and mean value.

  2. As a comparison: For uniformly distributed properties the variational coefficient is \(\frac{1}{\sqrt{3}}\approx 0.58\), i.e. in each country the variation of wind power is greater than the variation of eyes when rolling dice.

  3. Both assumptions are quite bold. On the one hand, the continental climate is not as variable as near the coast and, on the other hand, the histogram of electricity demand will change across the large area.

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Authors and Affiliations

  1. Karl Ahlborn Maschinenfabrik KG, Vor dem Scheuerchen 17, 37247, Grossalmerode, Germany

    Detlef Ahlborn

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  1. Detlef Ahlborn
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Correspondence to Detlef Ahlborn.

Additional information

My special thanks go to my son Felix Ahlborn, M.Sc. for the critical discussion and for the correction of the manuscript.

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Ahlborn, D. Principal component analysis of West European wind power generation. Eur. Phys. J. Plus 135, 568 (2020). https://doi.org/10.1140/epjp/s13360-020-00585-4

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  • DOI: https://doi.org/10.1140/epjp/s13360-020-00585-4

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