Wind Power Prediction Using Genetic Programming Based Ensemble of Artificial Neural Networks (GPeANN)

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Arshad:2014:FIT,
  author =       "Junaid Arshad and Aneela Zameer and Asifullah Khan",
  booktitle =    "12th International Conference on Frontiers of
                 Information Technology (FIT)",
  title =        "Wind Power Prediction Using Genetic Programming Based
                 Ensemble of Artificial Neural Networks ({GPeANN})",
  year =         "2014",
  pages =        "257--262",
  abstract =     "Over the past couple of years, the share of wind power
                 in electrical power system has increased considerably.
                 Because of the irregular characteristics of wind, the
                 power generated by the wind turbines fluctuates
                 continuously. The unstable nature of the wind power
                 thus poses a serious challenge in power distribution
                 systems. For reliable power distribution, wind power
                 prediction system has become an essential component in
                 power distribution systems. In this Paper, a wind power
                 forecasting strategy composed of Artificial Neural
                 Networks (ANN) and Genetic Programming (GP) is
                 proposed. Five neural networks each having different
                 structure and different learning algorithm were used as
                 base regressors. Then the prediction of these neural
                 networks along with the original data is used as input
                 for GP based ensemble predictor. The proposed wind
                 power forecasting strategy is applied to the data from
                 five wind farms located in same region of Europe.
                 Numerical results and comparison with existing wind
                 power forecasting strategies demonstrates the
                 efficiency of the proposed strategy.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/FIT.2014.55",
  month =        dec,
  notes =        "Also known as \cite{7118409}",
}

Genetic Programming entries for Junaid Arshad Aneela Zameer Asifullah Khan

Citations