Predicting the energy output of wind farms based on weather data: Important variables and their correlation

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@Article{Vladislavleva:2013:RE,
  author =       "Ekaterina Vladislavleva and Tobias Friedrich and 
                 Frank Neumann and Markus Wagner",
  title =        "Predicting the energy output of wind farms based on
                 weather data: Important variables and their
                 correlation",
  journal =      "Renewable Energy",
  volume =       "50",
  year =         "2013",
  pages =        "236--243",
  keywords =     "genetic algorithms, genetic programming, Wind energy,
                 Prediction, Data Modeller",
  ISSN =         "0960-1481",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0960148112003874",
  DOI =          "doi:10.1016/j.renene.2012.06.036",
  size =         "8 pages",
  abstract =     "Wind energy plays an increasing role in the supply of
                 energy world wide. The energy output of a wind farm is
                 highly dependent on the weather conditions present at
                 its site. If the output can be predicted more
                 accurately, energy suppliers can coordinate the
                 collaborative production of different energy sources
                 more efficiently to avoid costly overproduction. In
                 this paper, we take a computer science perspective on
                 energy prediction based on weather data and analyse the
                 important parameters as well as their correlation on
                 the energy output. To deal with the interaction of the
                 different parameters, we use symbolic regression based
                 on the genetic programming tool DataModeler. Our
                 studies are carried out on publicly available weather
                 and energy data for a wind farm in Australia. We report
                 on the correlation of the different variables for the
                 energy output. The model obtained for energy prediction
                 gives a very reliable prediction of the energy output
                 for newly supplied weather data.",
  notes =        "See oai:arXiv.org:1109.1922
                 http://arxiv.org/abs/1109.1922",
}

Genetic Programming entries for Ekaterina (Katya) Vladislavleva Tobias Friedrich Frank Neumann Markus Wagner

Citations