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

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@Article{Dong:1997:EPSR,

• author = "Dong Gyu Lee and Byong Whi Lee and Soon Heung Chang",
• 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",
• month = jan,
• keywords = "genetic algorithms, genetic programming, Forecasting, Electric demand",
• owner = "wlangdon",
• ISSN = "0378-7796",
• broken = "http://www.sciencedirect.com/science/article/B6V30-3WDCJBW-3/2/c71881481512566c7b47d81606334180",
• URL = "http://hdl.handle.net/10203/71273",
• DOI = "doi:10.1016/S0378-7796(96)01125-X",
• 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.",
• notes = "Department of Nuclear Engineering, Korea Advanced Institute of Science and Technology, 373-1 Kusong-dong, Yusong-gu, Taejon 305-701, South Korea",

}

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

Citations