Demand Forecasting Using Fuzzy Neural Computation, With Special Emphasis On Weekend And Public Holiday Forecasting

IEEE Transactions on Power Systems

Volumn 10, Issue 4, 1995, Pages 1897-1903

  Srinivasan, Dipti ^a   Chang, C S ^a   Liew, A C ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; DATA STRUCTURES; EXPERT SYSTEMS; FUZZY SETS; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION;

FUZZY NEURAL NETWORKS; PUBLIC HOLIDAY LOAD FORECASTING; WEEKEND LOAD FORECASTING;

ELECTRIC LOAD FORECASTING;

EID: 0029410319     PISSN: 08858950     EISSN: 15580679     Source Type: Journal    
DOI: 10.1109/59.476055     Document Type: Article

References (15)

1. S. Vemuri, W. L. Huang, D. J. Nelson, “On Line Algorithms for Forecasting Hourly Loads of an Electric Utility”, IEEE Trans, on Power App. and Systems, Vol. PAS-100, Aug. 1981, pp. 3775-3784.
2. Moghram, S. Rahman, “Analysis and Evaluation of Five Short-term Load Forecasting Techniques”, IEEE Trans, on Power Systems, v 5 n 4, Nov. 1989, pp. 1484-1491.
3. A. S. Dehdashti, et al., “Forecasting of Hourly Load by Pattern Recognition - A Deterministic Approach”, IEEE Trans, on Power Apparatus and Systems, PAS-101, September 1982, pp. 3290-3294.
4. S. Rahman and R. Bhatnagar, “An Expert System Based Algorithm for Short Term Load Forecast”, IEEE Trans, on Power Systems, May 1988, Vol. 3, No. 2, pp. 392-399.
5. S. Rahman, “Generalized Knowledge-based Short-term Load-forecasting Technique”, IEEE Trans, on Power Systems v 8 n 2 May 1993, pp. 508-514.
6. K. L. Ho, Y. Y. Hsu, C. F. Chen, T. E. Lee, C. C. Liang, T. S. Lai, K. K. Chen, “Short Term Load Forecasting of Taiwan Power System Using a Knowledge-based Expert System”, IEEE Trans, on Power Systems, v 5 n 4, Nov 1990, pp. 1214-1221.
7. G. Lambert-Torres, C. O. Traore, P, J. Lagace, D. Mukhedkar, “A Knowledge Engineering Tool for Load Forecasting”, IEEE Symposium on Circuits and Systems, Calgary, Canada, August 12-15, 1990, pp. 144-147.
8. D. C. Park, M. A. El-Sharkawi, R. J. Marks, L. E. Atlas and M. J. Damborg, “Electric Load Forecasting Using An Artificial Neural Network”, IEEE Transaction on Power Systems, May 1991, pp. 442-449.
9. K. Y. Lee, Y, T. Cha, J. H. Park, “Short-term Load Forecasting Using an Artificial Neural Network”, IEEE Trans, on Power Systems, v 7 n 1, Feb. 1992, pp. 124-132.
10. S. T. Chen, D. Yu, and A. Moghaddamjo, “Weather Sensitive Short-term Load Forecasting Using Nonfully Connected Artificial Neural Network”, IEEE Trans, on Power Systems, v 7 n 3, 1992, pp. 1098-1105.
11. K. L. Ho, Y. Y. Hsu, C. C. Yang, “Short Term Load Forecasting Using a Multilayer Neural Network With an Adaptive Learning Algorithm”, IEEE Trans, on Power Systems, v 7 n 1, Feb. 1992, pp. 141-149.
12. T. S. Dillon, S. Sesito, S. Leung, “Short-term Load Forecasting Using an Adaptive Neural Network”, Electric Power and Energy Systems, Vol. 13, No. 4, August 1991, pp. 186-192.
13. D. C. Park, M. El-Sharkawi, and R. J. Marks II, “An Adaptively Trained Neural Network,” IEEE Trans, on Neural Networks, Vol. 2, No. 3, pp. 334-345, May 1991.
14. R. Yager, L, A. Zadeh, An Introduction To Fuzzy Logic Applications In Intelligent Systems, Kluwer Academic, Boston, 1992.
15. J. L. McClelland and I). E. Rumelhart, Explorations In Parallel Distributed Processing: A Handbook of Models, Programs and Exercises, MIT Press (1988).