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Comparing Traditional Methods of Complex Networks Construction in a Wind Farm Production Analysis Problem

  • Sara Cornejo-Bueno
  • Mihaela Ioana Chidean
  • Antonio J. Caamaño
  • Luís Prieto
  • Sancho Salcedo-SanzEmail author
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 882)

Abstract

This work presents a comparison between two methods for complex networks construction (cross-correlation and Mutual Information based), in the assessment of wind speed prediction efficiency at different wind farms in Spain. The approach is accomplished at mesoscale, for wind speed prediction data provided by the Weather Research and Forecasting (WRF) numerical model versus the actual wind speed measurements in the wind farms. Some important differences are found in the complex networks obtained, and the corresponding global measures from them, such as the betweenness and closseness centrality. We have found out that the mutual information method better captures nonlinear relationships of the problem, obtaining complex networks with fewer spurious links than the cross-correlation based method.

Keywords

Climate networks construction Wind farms Complex networks construction Wind power prediction 

Notes

Acknowledgments

This research has been partially supported by the Ministerio de Economía y Competitividad of Spain (Grant Ref. TIN2017-85887-C2-2-P).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Sara Cornejo-Bueno
    • 1
  • Mihaela Ioana Chidean
    • 1
  • Antonio J. Caamaño
    • 1
  • Luís Prieto
    • 2
  • Sancho Salcedo-Sanz
    • 3
    Email author
  1. 1.Department of Signal Processing and CommunicationsUniversidad Rey Juan CarlosFuenlabradaSpain
  2. 2.IberdrolaBilbaoSpain
  3. 3.Department of Signal Processing and CommunicationsUniversidad de AlcaláAlcalá de HenaresSpain

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