An integrated method of fuzzy data mining and fuzzy inference for short-term load forecasting

Engineering Intelligent Systems

Volumn 13, Issue 2, 2005, Pages 73-79

  Mori, H ^a   Sakatani, Y ^a   Fujino, T ^b   Numa, K ^b  

^a MEIJI UNIVERSITY   (Japan)

^b Central Load Despatching Centre   (Japan)

Author keywords

Data Mining; Load Forecasting; Regression Tree; Simplified Fuzzy Inference

Indexed keywords

ATMOSPHERIC HUMIDITY; DATA PROCESSING; DECISION THEORY; ELECTRIC LOAD FORECASTING; ELECTRIC POWER SYSTEMS; FUZZY SETS; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; TREES (MATHEMATICS); WEATHER FORECASTING;

DECISION TREES; LOAD FORECASTING; REGRESSION TREES; SIMPLIFIED FUZZY INFERENCE;

DATA MINING;

EID: 23144456418     PISSN: 14728915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (17)

1. G. Gross and F. D. Galiana, "Short-Term Load Forecasting," Proc. of the IEEE, Vol. 75, No. 12, pp. 1558-1573 Dec. 1987.
2. C. E. Asbury, "Weather Load Model for Electric Demand Energy Forecasting," IEEE Trans. on Power Systems, Vol. PAS-94, No. 4, pp. 1111-1116, July 1975.
3. J. Toyoda, et al., "An Application of State Estimation to Short-Term Load Forecasting I and II," IEEE Trans. on Power App. and Syst., Vol. PAS-89, No 7, pp. 1678-1688, Sep. 1970.
4. M. Hagan and R. Klein, "Identification Techniques of Box and Jenkins Applied to the Problem of Short Term Load Forecasting," IEEE PES SM, Paper A 77 168-2, Mexico City, Mexico, July 1977.
5. 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, Mar. 1988.
6. D. C. Park, M. A. El-Sharkawi, R.J. Marks, II, L. E. Atlas, M. J. Damborg, "Electric Load Forecasting Using An Artificial Neural Network," IEEE Trans. on Power Systems, Vol. 6, No. 2, pp. 442-448, May 1991.
7. Y. T. Park and J. K. Park, "An Expert System for Short Term Load Forecasting by Fuzzy Decision," Proc. of IFAC, International Symposium on Power Systems and Power Plant Control, pp. 831-836, Soul, Korea, Aug. 1989.
8. H. Mori and H. Kobayashi, "A Fuzzy Neural Net for Shortterm Load Forecasting," Proc. of ISAP'94, pp. 775-782, Monpellier, France, Aug. 1994.
9. H. Mori and H. Kobayashi, "Optimal Fuzzy Inference for Short-term Load Forecasting," IEEE Trans. on Power Systems, Vol. 11, No. 1, pp. 350-356, Feb. 1996.
10. H. Mori and Y. Sone, "A Simplified Fuzzy Inference Method with Tabu Search," Proc. of IEEE Conference on Decision and Control, Vol. 4, pp. 4240-4245, Tampa, FL, U.S.A., Dec. 1998.
11. H. Mori, Y. Sone, D. Moridera and T. Kondo, "A Parallel Tabu Search Based Fuzzy Inference Method for Short-term Load Forecasting," IEEE Proc. of PES'2000 WM, Singapore, Jan. 2000.
12. H. Mori and N. Kosemura, "Optimal Regression Tree Based Rule Discovery for Short-term Load Forecasting," Proc. of 2001 IEEE PES Winter Meeting, Vol. 2, pp. 421-426, Columbus, OH, USA, Jan. 2001.
13. H. Mori, N. Kosemura, K. Ishiguro and T. Kondo, "Short-term Load Forecasting with Fuzzy Regression Tree in Power Systems," Proc. of 2001 IEEE SMC Meeting, pp. 1948-1953, Tucson, AZ, U.S.A., Oct. 2001.
14. H. Mori, T. Kondo and K. Numa, "Data Mining for Short-term Load Forecasting," Proc. of 2002 IEEE PES Winter Meeting, Vol. 1, pp. 623-624, New York, NY, USA, Jan. 2002.
15. L. Breiman, J. H. Friedman, R. A. Olshen and C. J. Stone, "Classification and Regression Trees," Wadsworth International Group, 1984.
16. H. Akaike, "A New Look at the Statistical Model Information," IEEE Trans. on Automatic Control, Vol. AC-19, pp. 716-723, 1974.
17. I. H. Osman and J. P. Kelly(Eds.), "Meta-Heuristics: Theory & Applications," Kluwer Academic Publishers, Netherlands, 1996.