Genetic programming model for long-term forecasting of electric power demand
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Dong:1997:EPSR,
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author = "Dong Gyu Lee and Byong Whi Lee and Soon Heung Chang",
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title = "Genetic programming model for long-term forecasting of
electric power demand",
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journal = "Electric Power Systems Research",
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year = "1997",
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volume = "40",
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pages = "17--22",
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number = "1",
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month = jan,
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keywords = "genetic algorithms, genetic programming, Forecasting,
Electric demand",
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owner = "wlangdon",
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ISSN = "0378-7796",
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broken = "http://www.sciencedirect.com/science/article/B6V30-3WDCJBW-3/2/c71881481512566c7b47d81606334180",
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URL = "http://hdl.handle.net/10203/71273",
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DOI = "doi:10.1016/S0378-7796(96)01125-X",
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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.",
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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