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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