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

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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. (C) 1997 Elsevier Science S.A.
Publisher
ELSEVIER SCIENCE SA LAUSANNE
Issue Date
1997-01
Language
English
Article Type
Article
Citation

ELECTRIC POWER SYSTEMS RESEARCH, v.40, no.1, pp.17 - 22

ISSN
0378-7796
URI
http://hdl.handle.net/10203/71273
Appears in Collection
NE-Journal Papers(저널논문)
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