Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN)

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Khan:2013:ICMLA,
  author =       "Gul Muhammad Khan and Faheem Zafari and 
                 S. Ali Mahmud",
  title =        "Very Short Term Load Forecasting Using Cartesian
                 Genetic Programming Evolved Recurrent Neural Networks
                 (CGPRNN)",
  booktitle =    "12th International Conference on Machine Learning and
                 Applications (ICMLA 2013)",
  year =         "2013",
  month =        "4-7 " # dec,
  volume =       "2",
  pages =        "152--155",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, Cartesian Genetic Programming
                 evolved Recurrent Neural Network (CGPRNN), Very Short
                 Term Load forecast (VSTLF)",
  DOI =          "doi:10.1109/ICMLA.2013.181",
  abstract =     "Forecasting the electrical load requirements is an
                 important research objective for maintaining a balance
                 between the demand and generation of electricity. This
                 paper uses a neuro-evolutionary technique known as
                 Cartesian Genetic Programming evolved Recurrent Neural
                 Network (CGPRNN) to develop a load forecasting model
                 for very short term of half an hour. The network is
                 trained using historical data of one month on half
                 hourly basis to predict the next half hour load based
                 on the 12 and 24 hours data history. The results
                 demonstrate that CGPRNN is superior to other networks
                 in very short term load forecasting in terms of its
                 accuracy achieving 99.57 percent. The model was
                 developed and evaluated on the data collected from the
                 UK Grid station.",
  notes =        "Also known as \cite{6786098}",
}

Genetic Programming entries for Gul Muhammad Khan Faheem Zafari Sahibzada Ali Mahmud

Citations