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

被引：66

作者：

Lee, DG

Lee, BW

Chang, SH

机构：

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 1997年 / 40卷 / 01期

关键词：

forecasting; genetic programming; electric demand;

D O I：

10.1016/S0378-7796(96)01125-X

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 [电气工程]; 0809 [电子科学与技术];

摘要：

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.

引用

页码：17 / 22

页数：6