Market clearing price forecasting in deregulated electricity markets using adaptively trained neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3955 LNAI, Issue , 2006, Pages 56-66

  Georgilakis, Pavlos S ^a  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; FEEDBACK CONTROL; MARKETING; NEURAL NETWORKS; UNCERTAIN SYSTEMS;

ELECTRICITY MARKETS; FEEDBACK PROCESS; MARKET-CLEARING PRICES;

ELECTRIC POWER UTILIZATION;

EID: 33745842927     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11752912_8     Document Type: Conference Paper

References (22)

1. Schweppe, F., Caramanis, M., Tabors, R., Bohn, R.: Spot pricing of electricity. Kluwer, Norwell, MA (1988)
2. Contreras, J., Espínola, R., Nogales, F.G., Conejo, A.J.: ARIMA models to predict next-day electricity prices. IEEE Trans. Power Systems 18 (2003) 1014-1020
3. Nogales, F.G., Contreras, J., Conejo, A.J., Espínola, R.: Forecasting next-day electricity prices by time series models. IEEE Trans. Power Systems 17 (2002) 342-348
4. Obradovic, Z., Tomsovic, K.: Time series methods for forecasting electricity market pricing. IEEE Power Eng. Soc. Summer Meeting, 1999
5. Crespo, J., Hlouskova J., Kossmeier, S., Obersteiner, M.: Forecasting electricity spot prices using linear univariate time series models. App. Energy 77 (2002) 87-106
6. Yao, S.J., Song, Y.H.: Prediction of system marginal prices by wavelet transform and neural network. Elect. Mach. Power Syst. 28 (2000) 983-993
7. Kim, C.-I., Yu, I.-K., Song, Y.H.: Prediction of system marginal price of electricity using wavelet transform analysis. Energy Convers. Manag. 43 (2002) 1839-1851
8. Jau-Jia, G., Luh, P.B.: Market clearing price prediction using a committee machine with adaptive weighting coefficients. IEEE Power Eng. Soc. Winter Meeting, 2002
9. Ni, E., Luh, P.B.: Forecasting power market clearing price and its discrete PDF using a Bayesian-hased classification method. IEEE Power Eng. Soc. Winter Meeting, 2001
10. Bunn, D.W.: Forecasting loads and prices in competitive power markets. Proc. IEEE 88 (2000) 163-169
11. Angelus, A.: Electricity price forecasting in deregulated markets. Elect. J. 14 (2001) 32-41
12. Breipohl, A.M.: Electricity price forecasting models. IEEE Power Eng. Soc. Winter Meeting, 2002
13. Ramsay, B., Wang, A.J.: A neural network based estimator for electricity spot-pricing with particular reference to weekend and public holidays. Neurocomputing 23 (1998) 47-57
14. Szkuta, B.R., Sanabria, L.A., Dillon, T.S.: Electricity price short-term forecasting using artificial neural networks. IEEE Trans. Power Systems 14 (1999) 851-857
15. Hong, Y.-Y., Hsiao, C.-Y.: Locational marginal price forecasting in deregulated electricity markets using artificial intelligence. IEE Proc. Gen. Transm. Distr. 149 (2002) 621-626
16. Zhang, L., Luh, P.B., Kasiviswanathan, K.: Energy clearing price prediction and confidence interval estimation with cascaded neural networks. IEEE Trans. Power Systems 18 (2003) 99-105
17. Arroyo, J.M., Conejo, A.J.: Optimal response of a thermal unit to an electricity spot market. IEEE Trans. Power Systems 15 (2000) 1098-1104
18. Chan, C.J.S.: Development of a profit maximization unit commitment program. MSc Dissertation, UMIST, UK (2000)
19. Kirschen, D.S.: A demand-side view of electricity markets. IEEE Trans. Power Systems 18 (2003) 520-527
20. Haykin, S.: Neural networks: a comprehensive foundation. Prentice-Hall, New Jersey (1999)
21. Demuth, H., Beale, M.: Neural network toobox for use with MATLAB, User's guide, Version 4. MathWorks, MA (2001)
22. http://www.ucei.berkeley.edu/ucei/datamine/datamine.htm, accessed on 18/10/2005. Sponsored by University of California Energy Institute (UCEI)