Combined use of unsupervised and supervised learning for daily peak load forecasting

Energy Conversion and Management

Volumn 49, Issue 6, 2008, Pages 1302-1308

  Amin Naseri, M R ^a   Soroush, A R ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Artificial neural networks; Clustering; Feed forward neural networks; Forecasting; Peak load; Self organizing map

Indexed keywords

ATMOSPHERIC HUMIDITY; CLUSTERING ALGORITHMS; ELECTRIC LOAD FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS; UNSUPERVISED LEARNING;

CLOUD COVER; PROPOSED HYBRID MODEL (PHM); WEATHER TEMPERATURE; WIND SPEED;

SUPERVISED LEARNING;

EID: 42749086772     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2008.01.016     Document Type: Article

References (23)

1. Tzafestas S., and Tzafestas E. Computational intelligence techniques for short-term electric load forecasting. J Intell Robotic Syst 31 7 (2001) 7-68
2. Metaxiotis K., Kagiannas A., Askounis D., and Psarras J. Artificial intelligence in short term electric load forecasting: a state-of-the-art survey for the researcher. Energy Convers Manage 44 (2003) 1525-1534
3. Amjady N. Short-term hourly load forecasting using time-series modeling with peak load estimation capability. IEEE Trans Power Syst 16 4 (2001) 798-805
4. Petridis V., Kehagias A., Petrou L., Bakirtzis A., Kiartzis S., and Panagiotou H. A Bayesian multiple models combination method for time series prediction. J Intell Robotic Syst 31 (2001) 69-89
5. Zivanovic R. Local regression based short-term load forecasting. J Intell Robotic Syst 31 (2001) 115-127
6. Carpinteiro O.A.S., and Alves Da Silva A.P. A hierarchical neural model in short-term load forecasting. Appl Soft Comput 4 (2004) 405-412
7. Carpinteiro O.A.S., and Alves Da Silva A.P. A hierarchical self-organizing map model in short-term load forecasting. J Intell Robotic Syst 31 1-3 (2001) 105-113
8. Carpinteiro O.A.S., and Alves Da Silva A.P. A hierarchical neural model in short-term load forecasting. IEEE (2000) 120-124
9. Hippert H.S., Pedreira C.E., and Souza R.C. Neural networks for short-term load forecasting: a review and evaluation. IEEE Trans Power Syst 16 1 (2001) 44-55
10. Hsu C.C., and Chen C.Y. Regional load forecasting in Taiwan - applications of artificial neural networks. Energy Convers Manage 44 (2003) 1941-1949
11. Huang H.G., Hwang R.C., and Hsieh J.G. A new artificial intelligent peak power load forecaster based on non-fixed neural networks. Electr Power Energy Syst 24 (2002) 245-250
12. Iizaka T., Matsui T., and Fukuyama Y. A novel daily peak load forecasting method using analyzable structured neural network. IEEE T&D Asia, Yokohama (2002) 1-6
13. Khotanzad A., Afkhami-Rohani R., and Maratukulam D. ANNSTLF - artificial neural network short-term load forecaster - generation three. IEEE Trans Power Syst 13 4 (1998) 1413-1422
14. Kim C., Yu I., and Song Y.H. Kohonen neural network and wavelet transform based approach to short-term load forecasting. Electr Power Energy Syst 63 (2002) 169-176
15. Mori H., and Yuihara A. Deterministic annealing clustering for ANN-based short-term load forecasting. IEEE Trans Power Syst 16 3 (2001) 545-551
16. Murto P. Neural network models for short-term load forecasting. Thesis, Helsinki University of Technology, Department of Engineering Physics and Mathematics; 1998.
17. Saini L.M., and Soni M.K. Artificial neural network based peak load forecasting using conjugate gradient methods. IEEE Trans Power Syst 17 3 (2002) 907-912
18. Saini L.M., and Soni M.K. Artificial neural network based peak load forecasting using Levenberg-Marquardt and quasi-Newton methods. IEE Proc-Gener Transm Distrib (2002)
19. Amin-Naseri MR, Soroush AR. A hybrid neural network model for daily peak load forecasting using a novel clustering approach. In: IASTED international conference on artificial intelligence and soft computing; 2006. p. 104-9.
20. Oja M., Kaski S., and Kohonen T. Bibliography of self-organizing map (SOM) papers: 1998-2001 Addendum. Neural Comput Surveys 3 (2002) 1-156
21. Vesanto J., and Alhoniemi E. Clustering of the self-organizing map. IEEE Trans Neural Networks 11 3 (2000) 586-600
22. Demuth H, Beale M. Neural network toolbox for use with MATLAB. version 4, The MathWorks, Inc., (CD-ROM) 2002.
23. Hagan M.T., Demuth H., and Beale M. Neural network design. 1st ed. (1996), PWS Publishing Company, USA