Measuring performance electric power generations using artificial neural networks and fuzzy clustering

IECON Proceedings (Industrial Electronics Conference)

Volumn , Issue , 2006, Pages 4761-4766

  Azadeh, M A ^a   Ghaderi, S F ^a   Anvari, M ^a   Saberi, M ^b,c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c Research Institute of Energy Management and Planning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; COMPUTATIONAL METHODS; DECISION MAKING; ELECTRONICS INDUSTRY; FUZZY CLUSTERING; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; IMAGE CLASSIFICATION; INDUSTRIAL ELECTRONICS; POWER GENERATION; PROBLEM SOLVING; STOCHASTIC PROGRAMMING; VEGETATION;

ADAPTIVE NEURAL NETWORKS; ANNUAL CONFERENCE; ARTIFICIAL NEURAL NETWORKS; CONVENTIONAL METHODS; DECISION MAKING UNIT; DECISION-MAKING UNITS; ELECTRIC POWERS; FIRMS' PERFORMANCE; FRONTIER ANALYSIS; FUNCTION STRUCTURES; FUZZY C-MEANS METHOD; INPUT-OUTPUT; MEASURING PERFORMANCES; NON-PARAMETRIC; OBSERVATIONAL DATA; PUBLIC SECTORS; REAL DATA; STOCHASTIC FRONTIERS;

NEURAL NETWORKS;

EID: 50349094826     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IECON.2006.348042     Document Type: Conference Paper

References (24)

1. Toshiyuki Sueyoshi and Mika Goto, "Slack-adjusted DEA for time series analysis: Performance measurement of Japanese electric power generation industry in 1984-1993," European Journal of Operation Research Vol. 133, 2001, PP. 232-259.
2. Ali Emami Meibodi, "Efficiency considerations in the electricity supply industry: the case of Iran" A thesis submitted to university of Surrey for the degree of Doctor of Philosophy, 1998.
3. D. Hawdon, "Improving the Performance of Electricity Industries in Developing Countries: Is World Bank Policy on Deregulation the Way Forward?," Economics Departmental Research Seminar, University of Surrey, 23 September 1997.
4. P. W. Bauer, "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Vol. 46, No. 1-2, 1990, PP. 39-56.
5. A. D. Athanassopoulos and S. P. Curram, "A comparison of data envelopment analysis and artificial neural networks as tool for assessing the efficiency of decision making units," Journal of the Operational Research Society, Vol. 47, No. 8, 1996, 1000-1016.
6. A. Costa and R. N. Markellos, "Evaluating public transport efficiency with neural network models," Transportation Research C, Vol. 5, No. 5, 1997, PP. 301-312.
7. D. Santi' n and o, A.Valiñ, "Artificial neural networks for measuring technical efficiency in schools with a two-level model: an alternative approach," II Oviedo Workshop on Efficiency and Productivity, Oviedo, 2000.
8. A. R. Fleissig, T. Kastens, and D. Terrell, "Evaluating the semi-nonparametric Fourier, AIM, and neural networks cost functions," Economics Letters, Vol. 68, No. 3, 2000, PP. 235-44.
9. P. C. Pendharkar and J. A. Rodger, "Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption," Decision Support Systems, Vol. 36, No. 1, 2003, PP. 117-136.
10. Daniel Santin, Francisco J. Delgado and Aurelia Valino, "The measurement of technical efficiency: a neural network approach," Applied Economics, Vol. 36, 2004, PP. 627-635
11. D. Wu, Z. Yang and L. Liang, "Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank," Expert Systems with Applications, Vol. 1-8, 2005 Published by Elsevier.
12. D.E. Rumelhart, J.L. McClelland (Eds.), "Parallel Distributed Processing: Explorations in the Microstructure of Cognition," Foundations, MIT Press, Cambridge, MA, 1986.
13. P.I. Werbos, "Beyond Regression: new tools for prediction and analysis in the behavior sciences," Ph.D. Thesis, Harvard University, Cambridge, 1974.
14. R. Fare, S. Grosskopf and C. A. K. Lovell, "The Measurement of Efficiency of Production," Kluwer, Boston, 1983.
15. Fiona Nielsen ai, "Neural Networks-algorisms and application," Niles Brock Business College, 2001.
16. Raul Sanhueza, Hugh Rudnick and Hector Lagunas, "DEA Efficiency for the Determination of the Electric Power Distribution Added Value," IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 19, NO. 2, MAY 2004.
17. M. G. Pollit, "Ownership and Performance in Electric Utilities," Oxford, U.K.: Oxford Univ. Press, 1995.
18. T. Jamasb and M. Pollitt, "Benchmarking and regulation of electricity distribution and transmission utilities: Lessons from international experience," in DAE Working Paper. Cambridge, U.K.: Department of Applied Economics, Univ. Cambridge, 2001.
19. Shouhong Wang, "Adaptive non-parametric efficiency frontier analysis: a neural-network-based model," Computers & Operations Research, Vol. 30, 2003, PP. 279-295
20. J. C. Dunn, "A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters," Journal of Cybernetics, Vol. 3, 1973, PP. 32-57.
21. J. C. Bezdek, "Pattern Recognition with Fuzzy Objective Function Algorithms," Plenum Press, New York, 1981.
22. Francisco J. Delgado, "Measuring efficiency with neural networks. An application to the public sector," Economics Bulletin, Vol. 3, No. 15, 2005, pp. 1-10.
23. TAVANIR management organization, "Electric Power Industry in Iran 1997-2004," TAVANIR management organization, 1997-2004.
24. B. Golany, R. Yaakov, D. Rybak, "Measuring Efficiency of power Plants in Israel by Envelopment Analysis," IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, VOL. 41, NO. 3, 1994, PP. 291-301.