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

Electric Power Systems Research

Volumn 40, Issue 1, 1997, Pages 17-22

  Lee, Dong Gyu ^a   Lee, Byong Whi ^a   Chang, Soon Heung ^a  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Electric demand; Forecasting; Genetic programming

Indexed keywords

ELECTRIC LOADS; ELECTRIC POWER DISTRIBUTION; GENETIC ALGORITHMS;

ELECTRIC POWER DEMAND; GENETIC PROGRAMMING;

ELECTRIC LOAD FORECASTING;

EID: 0030716641     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0378-7796(96)01125-x     Document Type: Article

References (8)

1. IEEE Committee Report, Load forecasting bibliography phase I, IEEE Trans. Power Appar. Syst., PAS-99 (1) (1980) 53-58.
2. J.R. Koza, Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, 1992.
3. J.R. Koza, Genetic Programming II: Automatic Discovery of Reusable Programs, MIT Press, 1994.
4. K.E. Kinnear, Advances in Genetic Programming, MIT Press, 1994.
5. D.J. Montana, Strongly typed genetic programming, BBN Tech. Rep. # 7866, 1994.
6. W.A. Tackett, Recombination. Selection, and Genetic Construction of Computer Programs, A Dissertation Presented to the Faculty of the Graduate School, University of Southern California, 1994.
7. National Statistical Office, Korea Statistical Yearbook, Republic of Korea (Annually).
8. X.Q. Liu, B.W. Ang and T.N. Goh, Forecasting of electricity consumption: a comparison between an econometric model and a neural network model, in Proc. 1991 IEEE Int. Joint Conf. Neural Networks, 91CH3065-0, pp. 1254-1259.