An extensible model library for generating wind speed data

  • Authors:
  • Marcello Donatelli;Gianni Bellocchi;Ephrem Habyarimana;Roberto Confalonieri;Fabio Micale

  • Affiliations:
  • Agriculture Research Council, CRA-CIN, Bologna, Italy and Joint Research Centre, IPSC, MARS Unit, AGRI4CAST Action, Ispra (VA), Italy;Agriculture Research Council, CRA-CIN, Bologna, Italy;Agriculture Research Council, CRA-CIN, Bologna, Italy;University of Milan, DiProVe, Milan, Italy;Joint Research Centre, IPSC, MARS Unit, AGRI4CAST Action, Ispra (VA), Italy

  • Venue:
  • Computers and Electronics in Agriculture
  • Year:
  • 2009

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Abstract

Wind is a library providing a collection of stochastic approaches to generate wind speed data on daily and hourly time steps. Daily generation refers to as mean, maximum and minimum daily wind speed. The library is made available as software component, inclusive of hypertext help file, allowing the development of language-independent clients under Windows operating systems. The component includes advanced features for re-use in custom developed applications, and it allows independent extensions by third parties without requiring its re-compilation. Illustrative examples on how to extend and re-use the library are provided as C# code projects.