Simulating electricity spot prices in Brazil using neural network and design of experiments

2007 IEEE Lausanne POWERTECH, Proceedings

Volumn , Issue , 2007, Pages 2029-2034

  Queiroz, A R ^b   Oliveira, F A ^b   Marangon Lima, J W ^a   Balestrassi, P P ^b  

^a IEEE

^b NONE

Author keywords

Design of experiments and artificial neural networks; Electricity prices; Simulation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COMPUTER NETWORKS; DESIGN OF EXPERIMENTS; ELECTRIC LOAD FORECASTING; FORECASTING; INVESTMENTS; OCCUPATIONAL RISKS; RISK ANALYSIS; RISK ASSESSMENT; RISK MANAGEMENT; VEGETATION;

DESIGN OF EXPERIMENTS AND ARTIFICIAL NEURAL NETWORKS; ELECTRICITY PRICES; SIMULATION; SPOT PRICING;

NEURAL NETWORKS;

EID: 50849140143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PCT.2007.4538630     Document Type: Conference Paper

References (17)

1. L.A. Terry, et al., "Coordinating the Energy Generation of the Brazilian National Hydrothermal Electrical Generating System", Interfaces 16, Jan- Feb 1986, pp 16-38.
2. M.V.F. Pereira, "Optimal Stochastic Operations of Large Hydroeletric Systems", Electrical Power & Energy Systems, Vol. 11, No 3, July/1989.
3. D. C. Montgomery, "Designs and Analysis of Experiments". John Wiley & Sons, 1997.
4. L. Fausett, "Fundamentals of Neural Networks. Architectures, Algorithms, and Applications". Prentice Hall International, New Jersey. 1994.
5. S. Haykin, "Neural Networks. A Comprehensive Foundation". IEEE Press. New York, 1994.
6. G. Li, C.C.Liu, J. Lawarree, M. Gallanti, A.Venturini, "State-of-the-Art of Electricity Price Forecasting," IEEE 2005.
7. F.J. Nogales, J. Contreras, A.J. Conejo And R. Espínola, "Forecasting Next-Day Electricity Prices by Time Series Models," IEEE Transactions on Power Systems, Vol. 17, No. 2, pp. 342-348, May 2002.
8. P. Skantze, M. Ilic, and J. Chapman, "Stochastic Modeling of Electric Power Prices in A Multi-Market Environment," Proceedings of Power Engineering Winter Meeting, Singapore, January 2000, pp. 1109-1114.
9. B. R. Szkuta, L.A. Sanavria, and T.S. Dillon, "Electricity Price Short-Term Forecasting Using Artificial Neural Networks," Ieee Transactions On Power Systems, Vol. 14, No. 3, Pp. 851-857, August 1999.
10. J.J. Guo, and P.B. Luh, "Improving Market Clearing Price Prediction by Using a Committee Machine of Neural Networks," IEEE Transactions on Power Systems, Vol. 19, No. 4, pp. 1867-1876, November 2004.
11. P. Mandal, T. Senjyu, and T. Funabashi, "Neural Network Models to Predict Short-Term Electricity Prices and Loads", IEEE 2005.
12. J. Bastian, J. Zhu, V. Banunarayanan, and R. Mukerji, "Forecasting Energy Prices in a Competitive Market," IEEE Computer Applications in Power, Vol. 12, No.3, pp. 40-45, 1999.
13. R. Deb, R. Albert, L.L. Hsue, and N. Brown, "How to Incorporate Volatility and Risk in Electricity Price Forecasting," The Electricity Journal, May 2000.
14. T. Prvan, D.J. Street, "An Annotated Bibliography of Application Papers Using Certain Classes of Fractional Factorial and Related Designs". Journal of Statistical Planning and Inference, n.106, p.245-269, 2002.
15. J.P.C. Kleijnen, S.M. Sanchez, T.W. Lucas, T.M. Cioppa, "State-of-the-Art Review A User's Guide to the Brave New World of Designing Simulation Experiments", INFORMS Journal on Computing Vol. 17, No. 3, 2005, pp. 263-289.
16. MINITAB User's Guide Version 14.1 USA: Minitab Inc., 2003.
17. STATISTICA, version 7.0, Statsoft, Tulsa OK 74104, USA 2006.