An improved neural network application for short-term load forecasting in power systems

Electric Machines and Power Systems

Volumn 28, Issue 8, 2000, Pages 703-721

  Krunic, Slavisa ^a   Krcmar, Igor ^a   Rajakovic, Nikola ^b  

^a Faculty of Electrical Engineering   (Bosnia and Herzegovina)

^b Faculty of Electrical Engineering   (Serbia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; ELECTRIC LOAD FORECASTING; EXPERT SYSTEMS; NEURAL NETWORKS;

LEARNING-RATE PARAMETERS;

ELECTRIC POWER SYSTEMS;

EID: 0038755418     PISSN: 0731356X     EISSN: 15210502     Source Type: Journal    
DOI: 10.1080/07313560050082703     Document Type: Article

References (12)

1. Gross, G., and Galiana, F. D., 1987, “Short Term Load Forecasting,” Proceedings of IEEE, Vol. 75, No. 12, pp. 1558–1573.
2. Bunn, D. W., and Farmer, E. D., 1985, Comparative Models for Electrical Load Forecasting, New York, John Wiley & Sons.
3. Davies, M. The Relationship Between Weather and Electricity Demand, 1987, Monography 3145, London, IEE.
4. Farmer, E. D., and Potton, M. J., “Development of Online Load-Prediction Techniques With Results From the South-West Region of the C.E.G.B.,” Proceedings of IEE, Vol. 115, No. 10, pp. 1549–1568.
5. Atlas, L. et al., 1990, “A Performance Comparison of Trained Multy-Layer Perceptrons and Trained Classification Trees,” Proceedings of IEEE, Vol. 78, pp. 1614–1619.
6. Park, D. C., El-Sharkawi, M. A., and Marks R. J., II, 1991, “An Adaptively Trained Neural Network,” IEEE, Transactions on Neural Networks, Vol. 2, No. 3.
7. Chen, S.-T., Yu, D. C., and Moghaddamio, A. R., 1991, “Weather Sensitive Short- Term Load Forecasting Using Nonfully Connected Artificial Neural Network,” 91 Sm 449-9 PWRS, IEEE PES 1991, Summer Meeting, San Diego, California, July 28–August 1.
8. Peng, T. M., Hubele, N. F., and Karady, G. G., 1991, “Advancement in the Application of Neural Networks for Short-Term Load Forecasting,” 91 Sm 451-5 PWRS, IEEE PES 1991, Summer Meeting, San Diego, California, July 28–August 1.
9. Ho, K.-L., Hsu, Y.-Y., and Yang, C.-C., 1991, “Short Term Load Forecasting Using a Multylayer Neural Network With an Adaptive Learning Algorithm,” 91 Sm 450-7 PWRS, IEEE PES 1991, Summer Meeting, San Diego, California, July 28–August 1.
10. Galiana, F. D., Handschin, E., and Fiechter, A., 1996, “Identification of Stochastic Electric Load Models From Physical Data,” IEEE Transactions on Automatic Control, Vol. AC-19, No. 6, pp. 887–893.
11. Akhontanzad, Afkhami-Rohani, R., Lu, T. L., Abaye, A., Davis, M., and Maratukulam, D. J., 1997, “ANNSTLF: A Neural Network Based Load Forecasting System,” IEEE Transactions on Neural Networks, Vol. 8, No. 4, pp. 835–846.
12. Haykin, S., 1994, Neural Networks, New York, Prentice Hall.