Genetic programming model for long-term forecasting of electric power demand

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

@Article{Dong:1997:EPSR,
  author =       "Gyu Lee Dong and Whi Lee Byong and Heung Chang Soon",
  title =        "Genetic programming model for long-term forecasting of
                 electric power demand",
  journal =      "Electric Power Systems Research",
  year =         "1997",
  volume =       "40",
  pages =        "17--22",
  number =       "1",
  abstract =     "Genetic programming (GP) involves finding both the
                 functional form and the numeric coefficients for the
                 model. So it does not require the assumption of any
                 functional relationship between dependent and
                 independent variables. The use of GP for solving
                 long-term forecasting of the electric power demand
                 problem is discussed; several cases which have
                 different combinations of terminal sets and functional
                 sets were investigated. The results of annual
                 forecasting of electric power demand are presented for
                 various cases using the GP model. The GP model is
                 compared with the regression model.",
  owner =        "wlangdon",
  URL =          "http://www.sciencedirect.com/science/article/B6V30-3WDCJBW-3/2/c71881481512566c7b47d81606334180",
  keywords =     "genetic algorithms, genetic programming, Forecasting,
                 Electric demand",
  DOI =          "doi:10.1016/S0378-7796(96)01125-X",
}

Genetic Programming entries for Gyu Lee Dong Whi Lee Byong Heung Chang Soon

Citations