Optimal fuzzy inference for short-term load forecasting

IEEE Transactions on Power Systems

Volumn 11, Issue 1, 1996, Pages 390-396

  Mori, Hiroyuki ^a   Kobayashi, Hidenori ^a  

^a MEIJI UNIVERSITY   (Japan)

Author keywords

Fuzzy inference; Nonlinear approximation; Short term load forecasting; Simulated annealing; Supervised learning

Indexed keywords

APPROXIMATION THEORY; COMBINATORIAL MATHEMATICS; ELECTRIC POWER SYSTEMS; ENERGY MANAGEMENT; FUZZY SETS; INFERENCE ENGINES; LEARNING SYSTEMS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; PLANNING; SIMULATED ANNEALING;

FUZZY INFERENCE; NONLINEAR APPROXIMATION; SUPERVISED LEARNING;

ELECTRIC LOAD FORECASTING;

EID: 0030084673     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/59.486123     Document Type: Article

References (27)

1. T. Takagi and M. Sugeno, "Fuzzy Identification of System and its Applications to Modelling and Control," IEEE Trans, on Systems, Man, and Cybernetics, vol. SMC-15, No. 1, pp. 116132,1985.
2. M. Sugeno and G. T. Kang, "Structure Identification of Fuzzy Modef?" Fuzzy Sets and Systems, No. 28, pp. 15-33,1988.
3. S. Horikawa, et al., "A Study On Fuzzy Modelling Using Fuzzy Neural Network," IFES'91, vol. 1, pp. 562-57?, Yokohama, Nov. 1991.
4. M. Yamaoka and M. Mukaidono, "A Learning Method of Fuzzy Inference Rules with a Neural Network,' 4th Proc. of IFSA Congress, vol. 1 Engineering, pp. 222-225,1991.
5. S. Araki, H. Nomura, I. Hayashi and N. Wakarni, "A Fuzzy Modelling with Iterative Generation Mechanism of Fuzzy Inference Kules," Journal of Japan Society for Fuzzy Theory and Systems, vol. 4, No. 4, pp. 722-732, 1991.
6. B. Koskp, "Fuzzy Systems as Universal Approximates," IEEE International Conference of Fuzzy Systems 1992, pp. 11531162, San Diego, California, Mar. 1992.
7. H. Nomura, I. Hayashi and N. Wakarni, "A Learning Method of Fuzzy Inference Rules by Descent Method,"IEEE International Conference of Fuzzy Systems 1992, pp. 203-210, San Diego, CA, Mar. 1992.
8. Y. Hayashi, J. J. Buckley and E. Czogala, "Direct Fuzzification of Neural Network and Fuzzified Delta Rule," Proc. of the 2nd Int. Conf. on Fuzzy Logic & Neural Networks, pp.73-76, lizuka, Japan, Jul. 1992.
9. M. Mukaidono and M.Yamaoka, "A Learning Method of Fuzzy Inference Rules with Neuial Networks," Proc. of the 2nd Int. Conf. on Fuzzy Logic & Neural Networks, pp. 185-187, lizuka, Japan, Jul. 1992.
10. J.Tpyoda, M. Chen and Y. Inoue, "An Application of State Estimation to Short-Term Load Forecasting, I and U," IEEE Trans, on Power App. and Syst., vol. PAS-89, pp. 1678-1688, Sep. 1970.
11. G. E. P. Box and G. M. Jenkins, "Time Series Analysis: Forecasting & Control," Holden-Day Inc., Oakland, CA, 1976.
12. M.S. Sachdev, R. Billinton and C. A. Peterson, "Representative Bibliography on Load Forecasting," IEEE Trans, on Power Apparatus and Systems, vol. PAS-96, No. 2, Mar./Apr. 1977.
13. M. Hagan and R. Klein, "Identification Techniques of Box and Jenkins Applied to the Problem of Short Term Load Forecasting, IEEE PES Summer Meeting, Paper A 77 168-2, Mexico City, Jul, 1977.
14. Y.-T. Park, and J.-K. Park, "An Expert System for Short Term Load Forecasting by Fuzzy decision," Proc. IFAC, 1989 International Symposium on Power Systems and Power Plant Control, pp. 831-836, Soul, Korea, Aug. 1989 <
15. G. Gross and F. Galiana, "Short Term Load Forecasting," Proc. of the IEEE, vol. 75, No. 12, Dec. 1987.
16. S. Rahman and R. Bhatnagar, "An Expert System Based Algorithm for Short Term Load Forecast," IEEE Trans, on Power Systems, vol. 3, No. 2, pp. 392-399, May 1988.
17. G. Lambert Torres, B. Valiquette, and D. Mukhedkar, "ShortTerm Feeder Load Forecasting: An Expert System Using Fuzzy Logic," Proc. IFAC, 1989 International Symposium on Power Systems and Power Plant Control, pp.825 -830, Soul, Korea, Aug. 1989
18. D. C. Park, M. A. El-Sharkawi, R. J. Marks, M. E. Aggoune, L. E. Atlas and M. J. Damborg, "Electric Load Forecasting Using an Artificial Neural Network" IEEE PES ] 990 Summer Meeting, Paper No. 90 SM 377-2 PWRS, Minneapolis, MN, Jul.l99b.
19. K. Lee, Y. T. Cha and J. H. Park, "Short-Term Load Forecasting Using Artificial Neural Network," IEEE PES 1991 Winter Meeting, Paper No. 91 WM 190-0 PWRS, New York, NY, Feb. 1991.
20. Shin-Tzo Chen, David C. Yu and A. R. Moghaddamjo, "Weather Sensitive Shot-Term Load Forecasting Using Nonfully Connected Artificial Neural Network," IEEE PES 1991 Summer Meeting, Paper No. 91 SM449-9 PWRS, San Diego, CA, Jul. 1991.
21. G. Lambert Torres, L.E. Borges da Silva, B. Valiquette, H. Greiss, and D. Mukhedkar, A Fuzzy Knowledge-Based System for Bus Load Forecasting," in Fuzzy Logic Technology and Applications (IEEE Technology Update Series), pp. 221-228, 1994.
22. P. K. Dash, S. Dash and S. Rahman, "A Fuzzy Adaptive Correction Scheme for Short Term Load Forecasting Using Fuzzy Layered Neural Network," Proc. of ANNPS 93, pp. 432-437, Yokohama, Japan, Apr. 1993.
23. M.A. El-Sharkawi, R.J. Marks H, S. Oh, and C.M. Brace, "Data Partitioning for Training a Layered Perceplron to Forecast Electric Load," Proc. of ANNPS'93, pp. 66-68, Yokohama, Japan, Apr. 1993.
24. H. Mori, and H. Kobayashi, "Fuzzy Neural Net for Short-Term Load Forecasting," Proc. of ISAP'94, vol. 2, pp. 775-782, Montpellier, France, Sep. 1994
25. A. Gonzalez, R. Perez, and J. L. Verdegay, "Learning the Structure of a Fuzzy Rule: A Genetic Approach," EUFIT'93, pp.814-819, Aachen, Germany, Sep. 1993
26. J. L. Castro, M. Delgado andF. Herrera, "A Learning Method of Fuzzy Reasoning by Genetic Algorithms," EUFIT'93, rra.804-809, Aachen, Germany, Sep. 1993
27. H. Akaike, "A New Look at the Statistical Model Identification," IEEE Trans., vol. AC-19, pp. 716-723, 1974.