Dynamic feedback neuro-evolutionary networks for forecasting the highly fluctuating electrical loads

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

@Article{Khan:2016:GPEM,
  author =       "Gul Muhammad Khan and Faheem Zafari",
  title =        "Dynamic feedback neuro-evolutionary networks for
                 forecasting the highly fluctuating electrical loads",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2016",
  volume =       "17",
  number =       "4",
  pages =        "391--408",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, Very short term electric load
                 forecasting (VSTLF), Recurrent neural networks,
                 Cartesian genetic programming evolved recurrent neural
                 network (CGPRNN), Neuro-evolution",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-016-9268-6",
  size =         "18 pages",
  abstract =     "A computationally efficient and accurate forecasting
                 model for highly dynamic electric load patterns of UK
                 electric power grid is proposed and implemented using
                 recurrent neuro-evolutionary algorithms. Cartesian
                 genetic programming is used to find the optimum
                 recurrent structure and network parameters to
                 accurately forecast highly fluctuating load patterns.
                 Fifty different models are trained and tested in
                 diverse set of scenarios to predict single as well as
                 more future instances in advance. The testing results
                 demonstrated that the models are highly accurate as
                 they attained an accuracy of as high as 98.95 percent.
                 The models trained to predict single future instances
                 are tested to predict more future instances in advance,
                 obtaining an accuracy of 94 percent, thus proving their
                 robustness to predict any time series.",
}

Genetic Programming entries for Gul Muhammad Khan Faheem Zafari

Citations