Proposition of a PSO fuzzy polynomial neural network for short-term load forecasting

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2010, Pages 4224-4228

  Masselli, Yvo Marcelo C ^a   Lambert Torres, Germano ^b   Valério De Moraes, Carlos Henrique ^b   Borges Da Silva, Luiz Eduardo ^b   Esmin, Ahmed A A ^c  

^a National Institute of Telecommunications (INATEL)   (Brazil)

^b FEDERAL UNIVERSITY OF ITAJUBÁ   (Brazil)

^c University of Lavras   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX SYSTEMS; FUZZY POLYNOMIAL NEURAL NETWORKS; POLYNOMIAL NEURAL NETWORKS; SHORT TERM LOAD FORECASTING; SYSTEM IDENTIFICATION PROBLEMS; TIME SERIES FORECASTING;

ARTIFICIAL INTELLIGENCE; ELECTRIC LOAD FORECASTING; FUZZY LOGIC; PARTICLE SWARM OPTIMIZATION (PSO); TIME SERIES;

FUZZY NEURAL NETWORKS;

EID: 78751547595     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2010.5642497     Document Type: Conference Paper

References (11)

1. Jang, J.-S. R.: ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23, No 3, May/June - 1993
2. Ivakhnenko, A.G.: Polynomial Theory of Complex Systems, IEEE Trans, on Systems, Man, and Cybernetics, vol.1, N:4, 364-378.
3. Hwang, H.S.: Fuzzy GMDH-type neural network model and its application to forecasting of mobile communication, Computers & Industrial Engineering 50 (2006) 450-457, Elsevier B.V.
4. Oh, S.-K., Pedrycz, W., Ahn, T.-C.: Self-organizing neural networks with fuzzy polynomial neurons, Applied Soft Computing 2 (2002) 1-10, Elsevier B.V.
5. Oh, S.-K., Pedrycz, W.: Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms, Journal of the Franklin Institute 343 (2006) 125-136, Elsevier B.V.
6. Oh, S.-K., W. Pedrycz: A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization, Advanced Engineering Informatics 18 (2004) 29-39, Elsevier B.V.
7. Oh, S.-K., Pedrycz, W., Roh, S.-B.: Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons, Information Sciences 176 (2006) 3490-3519, Elsevier B.V.
8. van Rooij, A J. F., Jain, L. C., Johnson, R. P.: Neural Network Training Using Genetic Algorithms, Singapore: World Scientific Publishing Co. Pte. Ltd., 1996
9. Box, D.E., Jenkins, G.M.: Time Series Analysis, Forecasting and Control, California: Holden Day
10. Kennedy, J., Eberhart, R. : Swarm Intelligence, Morgan Kaufmann Publishers, 2001
11. A.A. Esmin, G. Lambert-Torres & A.C. Zambroni de Souza - "A Hybrid Particle Swarm Optimization Applied to Loss Power Minimization", IEEE Transactions on Power Systems, Vol. 20, No.2, pp. 859-866, May 2005.