A fast electric load forecasting using adaptive neural networks

2003 IEEE Bologna PowerTech - Conference Proceedings

Volumn 1, Issue , 2003, Pages 362-367

  Lopes, M L M ^a   Lotufo, A D P ^a   Minussi, C R ^a  

^a SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

Adaptive parameters; Backpropagation algorithm; Electrical load forecasting; Fuzzy controller; Fuzzy logic; Neural networks; Postsynaptic function

Indexed keywords

ADAPTIVE NEURAL NETWORKS; ADAPTIVE PARAMETERS; ADAPTIVE PROCESS; ELECTRICAL LOAD FORECASTING; FASTER CONVERGENCE; FUZZY CONTROLLERS; GLOBAL ERRORS; MULTILAYER FEEDFORWARD NEURAL NETWORKS; NETWORK TRAINING; TWO PARAMETER;

BACKPROPAGATION ALGORITHMS; ELECTRIC LOADS; FEEDFORWARD NEURAL NETWORKS; FUZZY LOGIC; NETWORK ARCHITECTURE; NEURAL NETWORKS;

ELECTRIC LOAD FORECASTING;

EID: 84861520857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2003.1304158     Document Type: Conference Paper

References (11)

1. C. Almeida, P.A. Fishwich, and Z. Tang, "Time series forecasting using neural network vs. Box-Jenkins methodology," Simulation Counties, Inc., pp. 303-310, November 1991.
2. P. Arabshahi, J. J. Choi, R. J. Marks II and TP Caudell, "Fuzzy parameter adaptation in optimization," IEEE Computational Science & Engineering, pp. 57-65, Spring 1996.
3. T. M. O'Donovan, Short Term Forecasting: An Introduction to the Box-Jenkins Approach, New York, John Wiley & Sons, 1983
4. S. V. Karralopoulos, Understanding Neural Networks and Fuzzy Logic, New York: IEEE Press, 1996.
5. rd MIDWEST Symposium on Circuits and Systems, Lansing - Michigan, USA, August 2000.
6. th Midwest Symposium On Circuits And System, pp. 1305-1308, 1995.
7. D. Srinivasan, S. S. Tan, C. S. Chang and E. K. Chan, "Practical implementation of a hybrid fuzzy neural network for one-day-ahead load forecasting," IEE Proceedings Generation, Transmission and Distribution, vol, 145, no. 6, pp. 687 - 692, November 1998.
8. N. Stamatis, D. Parthimos, and T. M. Griffith, "Forecasting chaotic cardiovascular times series with an adaptive slope multilayer perception neural network," IEEE Transactions on Biomedical Engineering, vol. 46, no. 12, pp. 1441-1453, 1999.
9. T. Terano, K. Asai, and M. Sugeno, Fuzzy Systems Theory and Its Application, Academic Press, 1991.
10. P. J. Werbos, "Beyond regression: new tools for prediction and analysis in the behavioral sciences," Master Thesis, Harvard University, 1974.
11. B. Widrow, and M. A. Lehr, "30 years of adaptive neural networks: perception, madaline, and backpropagation," Proceedings of the IEEE, vol. 78, no. 9, pp. 1415-1442,1990.