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Data Analytics for the Selection of Wind Turbine Power Curve Models

  • Gabriel Almeida Hammes
  • Paula Medina MaçairaEmail author
  • Fernando Luiz Cyrino Oliveira
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

Once energy is a social good, this study proposes a methodology to select the most appropriate wind turbine power curve models for Brazilian wind farms. To do so, we compare our proposal with the observed values in a monthly and annual base.

Keywords

Wind power Power curve Renewable energy 

Notes

Acknowledgements

The authors thank the R&D program of the Brazilian Electricity Regulatory Agency (ANEEL) for financial support (PD-0387-0315/2015). They also thank the support of the National Council of Technological and Scientific Development (CNPq) and FAPERJ. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Gabriel Almeida Hammes
    • 1
  • Paula Medina Maçaira
    • 1
    Email author
  • Fernando Luiz Cyrino Oliveira
    • 1
  1. 1.Department of Industrial EngineeringPontifical Catholic University of Rio de Janeiro (PUC-Rio)Rio de JaneiroBrazil

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